The 18th IEEE International Conference on Mobile Ad-Hoc and Smart Systems
IEEE MASS is a premier annual forum for sharing original, novel ideas in mobile ad-hoc networks and smart systems, defined broadly. As wireless ad-hoc networks continue to evolve and specialize into a number of application scenarios and environments, and sensor-based systems and technologies increasingly permeate our everyday life and become the inner fabric of the Internet of Things and cyber-physical systems, the unfolding of smart environments such as smart cities, smart farming, smart healthcare, and smart manufacturing, to name a few, demand integrated solutions that can make intelligent use of both cloud and edge systems, while applying machine learning and artificial intelligence tools to handle their growing complexity and to leverage the vast amount of available data created.
Sponsored by the IEEE Computer Society and IEEE Computer Society's TCDP, the 18th edition of the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) will be held as a virtual event in 2021, and it aims at bringing together researchers, developers, and practitioners to address recent advances in mobile ad-hoc and smart systems, covering algorithms, theory, protocols, systems & applications, experimental evaluations and testbeds, security/privacy, as well as AI/ML-based smart design.
COVID Update: IEEE MASS 2021 Goes Virtual:
Following the advice and guidelines from healthcare
officials and local authorities, the steering committee has decided to hold IEEE MASS 2021 as a virtual event on
Oct. 4-7, 2021. Accepted papers for IEEE MASS 2021 will be included in IEEE Xplore Digital Library after they are
presented at the virtual conference. Information and instructions on how to prepare for a virtual presentation will
be provided shortly. The organizing committee and program committee will endeavor to ensure high quality of the
conference program and excellent experience of conference authors and attendees. Thank you for your understanding
and support!
- Follow this link to IEEE MASS 2021 Virtual Platform
- Opening section is available now.
- Keynote 1: A Vision for Next-Generation Networks is available now.
- Keynote 2: Towards Intelligent Mobile Sensing: From Smart Access Systems Empowered by Vibration to Smart Health via WiFi is available now.
- Keynote 3: Towards Distributed Intelligence in Future Edge Computing is available now.
- Keynote 4: Towards Cyber Physical Social Systems: On Networked Control and Human Interaction is available now.
Notice about COVID-19:
We are closely monitoring the COVID-19 situation and a decision whether to
hold the conference on-site or virtual will be made by the end of June or early July. Should the conference
be held on-site, we understand that travel to Denver, CO, will still be difficult or even impossible for
some. We recommend that all authors for accepted papers investigate travel options and apply for entry visa
to the U.S., but if the authors are able to prove that on-site attendance of the conference is not possible,
we will allow remote presentation.
Student Conference Grant for IEEE MASS 2021
The IEEE Computer Society has generously provided funds to support students to attend IEEE MASS 2021, which will cover the registration fee.
Interested students are welcome to apply online at: https://purdue.ca1.qualtrics.com/jfe/form/SV_bavQl4ub89YSnGu
only student name, email address, university, and under or graduate student information will be collected.
Sponsors
IEEE MASS 2021
Student Travel Grant for IEEE MASS 2021
The IEEE Computer Society has generously provided funds to support students to attend IEEE MASS 2021, which will cover the registration fee.
Interested students are welcome to apply online at: https://purdue.ca1.qualtrics.com/jfe/form/SV_bavQl4ub89YSnGu
only student name, email address, university, and under or graduate student information will be collected.
Overview
IEEE MASS is a premier annual forum for sharing original, novel ideas in mobile ad-hoc networks and smart systems, defined broadly. As wireless ad-hoc networks continue to evolve and specialize into a number of application scenarios and environments, and sensor-based systems and technologies increasingly permeate our everyday life and become the inner fabric of the Internet of Things and cyber-physical systems, the unfolding of smart environments such as smart cities, smart farming, smart healthcare, and smart manufacturing, to name a few, demand integrated solutions that can make intelligent use of both cloud and edge systems, while applying machine learning and artificial intelligence tools to handle their growing complexity and to leverage the vast amount of available data created. Sponsored by the IEEE Computer Society, the 18th edition of the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) will be held as a virtual event in 2021, and it aims at bringing together researchers, developers, and practitioners to address recent advances in mobile ad-hoc and smart systems, covering algorithms, theory, protocols, systems & applications, experimental evaluations and testbeds, security/privacy, as well as AI/ML-based smart design.
Best Paper Award
- Energy-Efficient Interactive 360 Video Streaming with Real-Time Gaze Tracking on Mobile Devices
Linfeng Shen, Yuchi Chen and Jiangchuan Liu (Simon Fraser University, Canada)
Best Paper Award Runner-ups
- Scaling Resilient Adversarial Patch
- Malice-aware Transaction Forwarding in Payment Channel Networks
Yunhong Yin, Xiaolong Zheng, Peilun Du, Liang Liu and Huadong Ma (Beijing University of Posts and Telecommunications, China)
Yi Qin (Shandong University, China); Qin Hu (IUPUI, USA); Dongxiao Yu and Xiuzhen Cheng (Shandong University, China)
Best Workshop Paper Award
- WiFi-based Contactless Gesture Recognition Using Lightweight CNN
Keegan Kresge (Rochester Institute of Technology), Sophia Martino (Lehigh University), Tianming Zhao (Temple University), and Yan Wang (Temple University)
Best Poster/Demo Award
- Entropy Change Rate for Traffic Anomaly Detection
Xiaowei Li, Changda Wang and An Tang (Jiangsu University, China)
Keegan Kresge (Rochester Institute of Technology), Sophia Martino (Lehigh University), Tianming Zhao (Temple University), and Yan Wang (Temple University)
Xiaowei Li, Changda Wang and An Tang (Jiangsu University, China)
Organizing Committee
General Co-Chairs
- Alhussein Abouzeid, RPI
- Alessandro Mei, Sapienza U. of Rome
TPC Co-Chairs
- Shiwen Mao, Auburn University
- Chris Poellabauer, Florida International University
Workshop Co-Chairs
- Mingjun Xiao, USTC
- Aline Carneiro Viana, INRIA
Local Arrangements Chair
- Sangtae Ha, University of Colorado Boulder
Publication Chair
- Dajin Wang, Montclair State University
Publicity Co-Chairs
- Sudip Vhaduri, Purdue University
- Ruidong Li, Kanazawa University
- Ali Farooq, University of Turku
Web Chair
- Xiaowen Gong, Auburn University
Registration & Finance Chair
- Shuhui Yang, Purdue University Northwest
Demo & Poster Chair
- Yun Lin, Harbin Engineering University
Steering Committee
- Jie Wu (chair), Temple University
- Elizabeth Belding, UC Santa Barbara
- Falko Dressler, Technische Universit?t Berlin
- J. J. Garcia-Luna-Aceves, UC Santa Cruz
- Kang G. Shin, University of Michigan
Technical Program Committee
Algorithms & Theory
- Shaowei Wang, Nanjing University
- Mingyue Ji, University of Utah
Protocols and Cross-Layer Technologies Track
- Mohammed Atiquzzaman, University of Oklahoma
- Xu Yuan, University of Louisiana at Lafayette
Systems and Applications
- Lei Xie, Nanjing University
- Yuanqing Zheng, The Hong Kong Polytechnic University
Experimental Evaluation and Testbeds
- Aaron Striegel, University of Notre Dame
- Dimitrios Koutsonikolas, Northeastern University
Security and Privacy
- Ethiopia Nigussie, University of Turku, Finland
- Habtamu Abie, Norwegian Computing Centre
Artificial Intelligence/Machine Learning-based Smart Design
- Olga Saukh, Technical University of Graz, Austria
- Zimu Zhou, Singapore Management University
Emerging Technologies Track
- Jie Xu, University Miami
- Yi Shi, Virginia Tech
Student Volunteers
- Jeff Fitzgerald, Florida International University
- John Templeton, University of Notre Dame
- Chao Yang, Auburn University
- Ticao Zhang, Auburn University
- Dongsheng Li, Auburn University
All times are New York Time
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October 4, Monday
Opening Session and Awards
A Vision for Next-Generation Networks
Dr. Thyaga Nandagopal
AI/ML based Smart Design 1
Deep Reinforcement Learning for Scheduling in Multi-Hop Wireless Networks
Shuai Zhang, Bo Yin and Yu Cheng (Illinois Institute of Technology, USA)
QoS-Aware Load Balancing in Wireless Networks using Clipped Double Q-Learning
Pedro E Iturria Rivera and Melike Erol-Kantarci (University of Ottawa, Canada)
Mobility-Aware Resource Allocation for mmWave IAB Networks via Multi-Agent RL
Bibo Zhang and Ilario Filippini (Politecnico di Milano, Italy)
Adaptive Deep Neural Network Ensemble for Inference-as-a-Service on Edge Computing Platforms
Yang Bai (University of Miami, USA); Lixing Chen (Shanghai Jiao Tong University, China); Letian Zhang, Mohamed Abdel-Mottaleb and Jie Xu (University of Miami, USA)
Algorithms and Theory 1
Repetitive Activity Monitoring from Multivariate Time Series: A Generic and Efficient Approach
Chun-Tung Li and Jiaxing Shen (The Hong Kong Polytechnic University, Hong Kong); Yanni Yang (Hong Kong Polytechnic University, China); Jiannong Cao (Hong Kong Polytechnical University, Hong Kong); Milos Stojmenovic (Singidunum University, Serbia)
Frequency Hopping Signal Modulation Recognition Based on Time-Frequency Analysis
Jing Zhang (Harbin Engineering University,China); Changbo Hou, Yun Lin and Jie Zhang (Harbin Engineering University, China); Yongjian Xu (Harbin Engineering University,China); Shunshun Chen (Harbin Engineering University, China)
Analytical Optimal Solution of Selfish Node Detection with 2-hop Constraints in OppNets
Yang Gao, Jun Tao, Zuyan Wang, Wenqiang Li and Guang Cheng (Southeast University, China)
Mobile Charger Coverage Problem for Specific Heterogeneous Wireless Sensor Networks
Abdalaziz Sawwan and Jie Wu (Temple University, USA)
Systems and Applications 1
Environment-independent In-baggage Object Identification Using WiFi Signals
Cong Shi (Rutgers University, USA); Tianming Zhao (Temple University, USA); Yucheng Xie (Indiana University-Purdue University Indianapolis, USA); Tianfang Zhang (Rutgers University, USA); Yan Wang (Temple University, USA); Xiaonan Guo (Indiana University-Purdue University Indianapolis, USA); Yingying Chen (Rutgers University, USA)
Entropic Sensing for Energy Efficiency
Mohamed Adel Ibrahim and Hossam S. Hassanein (Queen's University, Canada)
SENSELET++: A Low-cost Internet of Things Sensing Platform for Academic Cleanrooms
Beitong Tian, Zhe Yang, Hessam Moeini and Ragini Gupta (University of Illinois at Urbana-Champaign, USA); Patrick Su (University of Illinois at Urbana Champaign, USA); Robert Kaufman, Mark McCollum and John Dallesasse (University of Illinois at Urbana-Champaign, USA); Klara Nahrstedt (University of Illinois Urbana-Champaign, USA)
Fine-grained Multi-user Device-Free Gesture Tracking on Today's Smart Speakers
Ningzhi Zhu (ShanghaiTech University, China); Huangxun Chen (Huawei Theory Lab, Hong Kong); Zhice Yang (ShanghaiTech University, China)
Emerging Technologies 1
Minimizing Delay in Network Function Visualization with Quantum Computing
Wenlu Xuan, Zhongqi Zhao, Lei Fan and Zhu Han (University of Houston, USA)
AoI-minimizing Scheduling in UAV-relayed IoT Networks
Biplav Choudhury (Virginia Tech, USA); Vijay K. Shah (George Mason University, USA); Aidin Ferdowsi (Hughes Network Systems, LLC, USA); Jeffrey Reed and Thomas Hou (Virginia Tech, USA)
A Reward Response Game in the Federated Learning System
Suhan Jiang and Jie Wu (Temple University, USA)
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning
Guangfeng Yan (City University of Hong Kong, Hong Kong); Shao-Lun Huang (Tsinghua-Berkeley Shenzhen Institute, China); Tian Lan (George Washington University, USA); Linqi Song (City University of Hong Kong, Hong Kong)
Towards Intelligent Mobile Sensing: From Smart Access Systems Empowered by Vibration to Smart Health via WiFi
Dr. Yingying (Jennifer) Chen
Poster & Demo 1
Network intrusion detection based on BiSRU and CNN
Ding Shanshuo, Wang Yingxin and Kou Liang (Hangzhou Dianzi University, China)
Optimal Variable Momentum Factor Algorithm for NPCA in Blind Source Separation
Ying Gao, Hongbin Dong, Shifeng Ou, Jindong Xu and Zhuoran Cai (Yantai University, China)
A New Architecture of Underwater Acoustic Radiation Simulator Based on ARM
Zhongxun Wang and Fei Xu (Yantai University, China)
ST-CFSFDP algorithm based on Euclidean distance constraint
JunQiao Jiang (Harbin University of Science and Technology, China)
Fusion localization based on WiFi and Bluetooth for the area around the corner of stairs
Jiaqi Zhen (Heilongjiang University, China)
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October 5, Tuesday
Towards Distributed Intelligence in Future Edge Computing
Dr. Jiannong Cao
AI/ML based Smart Design 2
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning
Sen Lin, Li Yang, Zhezhi He, Deliang Fan and Junshan Zhang (Arizona State University, USA)
Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing
Cheng Chen (University of Utah, USA); Bhavya Kailkhura and Ryan Goldhahn (Lawrence Livermore National Lab, USA); Yi Zhou (University of Utah, USA)
Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach
Fengjiao Li (Virginia Tech, USA); Jia Liu (The Ohio State University, USA); Bo Ji (Virginia Tech, USA)
Scaling Resilient Adversarial Patch
Yunhong Yin, Xiaolong Zheng, Peilun Du, Liang Liu and Huadong Ma (Beijing University of Posts and Telecommunications, China)
Algorithms and Theory 2
Mesh Network Reliability Analysis for Ultra-Reliable Low-Latency Services
Junhao Hu (Northwest University, China); Lin Cai and Jianping Pan (University of Victoria, Canada)
A Model for Coherent Communication Gain in Distributed Wireless Networks
Michael Lipski (Pennsylvania State University, USA); Sastry Kompella (Naval Research Laboratory, USA); Ram M Narayanan (The Pennsylvania State University, USA)
Distributed Game-Theoretical Task Offloading for Mobile Edge Computing
En Wang, Pengmin Dong and Yuanbo Xu (Jilin University, China); Dawei Li (Montclair State University, USA); Liang Wang (Northwestern Polytechnical University, China); Yongjian Yang (Jilin University, China)
Online Resource Allocation in Edge Computing Using Distributed Bidding Approaches
Caroline L Rublein (Pennsylvania State University, USA); Fidan Mehmeti (The Pennsylvania State University, USA); Mark Towers and Sebastian Stein (University of Southampton, United Kingdom (Great Britain)); Thomas La Porta (The Pennsylvania State University, USA)
Systems and Applications 2
A Resilient and Robust Edge-Cloud Network System Supporting CPS
Tanmoy Sen and Haiying Shen (University of Virginia, USA)
Energy-Efficient Interactive 360 Video Streaming with Real-Time Gaze Tracking on Mobile Devices
Linfeng Shen, Yuchi Chen and Jiangchuan Liu (Simon Fraser University, Canada)
Edge Learning for Low-Latency Video Analytics: Query Scheduling and Resource Allocation
Jie Lin and Peng Yang (Huazhong University of Science and Technology, China); Wen Wu (University of Waterloo, Canada); Ning Zhang (University of Windsor, Canada); Tao Han (New Jersey Institute of Technology, USA); Li Yu (Huazhong University of Science & Technology, China)
Uncovering Value of Correlated Data: Trading Data based on Iterative Combinatorial Auction
Zhenni Feng and Junchang Chen (Donghua University, China); Yanmin Zhu (Shanghai Jiao Tong University, China)
Emerging Technologies 2
Blockchain Meets COVID-19: A Framework for Contact Information Sharing and Risk Notification System
Jinyue Song (University of California Davis, USA); Tianbo Gu, Zheng Fang and Xiaotao Feng (University of California, Davis, USA); Yunjie Ge (University of San Francisco, USA); Hao Fu (University of California, Davis, USA); Pengfei Hu (Shandong University, China); Prasant Mohapatra (University of California, Davis, USA)
A Novel Internet-of-Drones and Blockchain-based System Architecture for Search and Rescue
Tri Hong Nguyen (Center for Ubiquitous Computing, University of Oulu, Finland); Risto Katila and Gia Tuan Nguyen (University of Turku, Finland)
Stackelberg Game Based Resource Pricing and Scheduling in Edge-Assisted Blockchain Networks
Sijie Huang, He Huang, Guoju Gao, Yu-e Sun and Yang Du (Soochow University, China); Jie Wu (Temple University, USA)
Malice-aware Transaction Forwarding in Payment Channel Networks
Yi Qin (Shandong University, China); Qin Hu (IUPUI, USA); Dongxiao Yu and Xiuzhen Cheng (Shandong University, China)
Security and Privacy 1
Achieving Physical Security through k-Barrier Coverage in 3D Stealthy Lattice WSNs
Habib M. Ammari (Texas A&M University-Kingsville, USA)
How to Get Away with MoRTr: MIMO Beam Altering for Radio Window Privacy
Syed Ayaz Mahmud (University of Utah, USA); Neal Patwari (Washington Unoversity in St. Louis, USA); Sneha Kumar Kasera (University of Utah, USA)
A UWB-Based Solution to the Distance Enlargement Fraud Using Hybrid ToF and RSS Measurements
Leo Botler (TU Graz, Austria); Konrad Diwold (Pro2future, Austria); Kay R?mer (Graz University of Technology, Austria)
PLIO: Physical Layer Identification using One-shot Learning
Saptarshi Hazra (RISE SICS, Sweden); Thiemo Voigt (Swedish Institute of Computer Science & Uppsala University, Sweden); Wenqing Yan (?ngstr?mlaboratoriet, L?gerhyddsv?gen 1, hus 7, Sweden)
Experimental Evaluation and Testbeds
A Measurement Study of TVWS Wireless Channels in Crop Farms
Matthias Sander-Frigau, Tianyi Zhang, Chen-Ye Lim, Hongwei Zhang, Ahmed E. Kamal, Arun Somani, Stefan Hey and Patrick Schnable (Iowa State University, USA)
Experimental Study of Lifecycle Management Protocols for Batteryless Intermittent Communication
Vishal Deep, Mathew L. Wymore, Alexis Aurandt, Vishak Narayanan, Shen Fu, Henry Duwe and Daji Qiao (Iowa State University, USA)
Examination of Indoor Localization Techniques and Model Parameters
Waltenegus Dargie and Jianjun Wen (Technische Universit?t Dresden, Germany)
np-CECADA: Enhancing Ubiquitous Connectivity of LoRa Networks
Nikos Kouvelas (Delft University of Technology, The Netherlands); R Venkatesha Prasad (TU Delft, The Netherlands); Niloofar Yazdani and Daniel E. Lucani (Aarhus University, Denmark)
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October 6, Wednesday
Towards Cyber Physical Social Systems: On Networked Control and Human Interaction
Dr. Falko Dressler
AI/ML based Smart Design 3
Efficient Vehicle Counting Based on Time-Spatial Images by Neural Networks
Yu-Yun Tseng, Tzu-Chien Hsu, Yu-Fu Wu and Jen-Jee Chen (National Yang Ming Chiao Tung University, Taiwan); Yu-Chee Tseng (National Chiao-Tung University, Taiwan)
EDIR: Efficient Distributed Image Retrieval of Novel Objects in Mobile Networks
Noor Felemban (Pennsylvania State University, USA); Fidan Mehmeti and Thomas La Porta (The Pennsylvania State University, USA); Heesung Kwon (Army Research Laboratory, USA)
MultiSense: Cross Labelling and Learning Human Activities Using Multimodal Sensing Data
Lan Zhang, Daren Zheng, Zhengtao Wu, Mu Yuan, Mengjing Liu, Feng Han and Xiang-Yang Li (University of Science and Technology of China, China)
Preventing Handheld Phone Distraction for Drivers by Sensing the Gripping Hand
Ruxin Wang, Long Huang and Chen Wang (Louisiana State University, USA)
Algorithms and Theory 3
Crashing Waves: An Empirical Vehicle-to-Barrier Communication Channel Model via Crash Tests
Mohammad M. R. Lunar and Cody Stolle (University of Nebraska-Lincoln, USA); Ronald K Faller (University of Nebraska-Lincoln & Midwest Roadside Safety Facility, USA); Mehmet Can Vuran (University of Nebraska-Lincoln, USA)
MultiVTrain: Collaborative Multi-View Active Learning for Segmentation in Connected Vehicles
Huiye Liu (North Ave NW, Atlanta & Georgia Institute of Technology, USA); Douglas Blough (Georgia Institute of Technology, USA)
Efficient Route Selection for Drone-based Delivery Under Time-varying Dynamics
Arindam Khanda and Federico Coro (Missouri University of Science and Technology, USA); Francesco Betti Sorbelli and Cristina M. Pinotti (University of Perugia, Italy); Sajal K. Das (Missouri University of Science and Technology, USA)
Hybrid Analog-Digital Sensing Approach for Low-power Real-time Anomaly Detection in Drones
Yung-Ting Hsieh, Khizar Anjum and Songjun Huang (Rutgers University, USA); Indraneel Kulkarni (MathWorks, USA); Dario Pompili (Rutgers University, USA)
Systems and Applications 3
DeepDMC: A Traffic Context Independent Deep Driving Maneuver Classification Framework
Ankur Sarker and Haiying Shen (University of Virginia, USA)
A Control Policy based Driving Safety System for Autonomous Vehicles
Liuwang Kang and Haiying Shen (University of Virginia, USA)
An Electric Vehicle Battery State-of-Health Estimation System with Aging Propagation Consideration
Liuwang Kang and Haiying Shen (University of Virginia, USA)
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning
Guo Bin (Northwestern Polytechnical University, China)
Protocols and Cross-Layer Technologies
CWmin Estimation and Collision Identification in Wi-Fi Systems
Amir-Hossein Yazdani-Abyaneh and Marwan Krunz (University of Arizona, USA)
Boosting Home WiFi Throughputs via Adaptive DAS Clustering of PLC Extenders
Hisham Alhulayyil (University of California Riverside, USA); Jiasi Chen (University of California, Riverside, USA); Karthikeyan Sundaresan (NEC Labs America, USA); Srikanth V. Krishnamurthy (University of California, Riverside, USA)
Multi-Agent Reinforcement Learning-Based Cooperative Beam Selection in mmWave Vehicular Networks
Lei Wang (Tianjin University & College of Intelligence and Computing, China); Shuxin Ge and Xiaobo Zhou (Tianjin University, China); Tie Qiu (School of Computer Science and Technology, Tianjin University, China); Keqiu Li (Tianjin University, China)
Joint Computing and Radio Resource Allocation in Cloud Radio Access Networks
Fatemeh Shirzad and Majid Ghaderi (University of Calgary, Canada)
Security and Privacy 2
Occlusion Resilient Adversarial Attack for Person Re-identification
Xinyu Wang, Xiaolong Zheng, Peilun Du, Liang Liu and Huadong Ma (Beijing University of Posts and Telecommunications, China)
Efficient Black-Box Adversarial Attacks for Deep Driving Maneuver Classification Models
Ankur Sarker, Haiying Shen, Tanmoy Sen and Quincy Mendelson (University of Virginia, USA)
A Transfer Learning based Abnormal CAN Bus Message Detection System
Liuwang Kang and Haiying Shen (University of Virginia, USA)
A Method of Flow Compensation Incentive based on Q-Learning for User Privacy Protection
Lu Chen and Degan Zhang (Tianjin University of Technology, China); Zhang Jie (Beijing Jiaotong University, China); Ting Zhang, Hongrui Fan and Jinyu Du (Tianjin University of Technology, China)
Poster & Demo 2
A Deep Learning-Based Intelligent Receiver for OFDM
Bin Wang (Xi'an University of Science and Technology, China); Ke Xu and Panting Song (Xi'an University of Science and Technology, China); Yanjing Sun (China University of Mining and Technolog, China); Yuzhi Zhang (Xi'an University of Science and Technology, China); Yang Liu (Xi'an University of Science and Technology, China)
Research on Automatic Modulation Classification Technology under alpha Stable Distribution Noise
Zherui Zhang (Harbin Engineering University & None, China)
Wi-Fi Based Indoor Location With Multi-parameter AP Selection and Device Heterogeneity Weakening
Xian Zhao (JiangSu University, China); Changda Wang (Jiangsu University, China)
Poster Abstract: The Effect of Digital Modulation Type on Radio Fingerprint Identification
Shanchuan Ying (BUPT, China)
Entropy Change Rate for Traffic Anomaly Detection
Xiaowei Li, Changda Wang and An Tang (Jiangsu University, China)
Digital Phenotyping for Spinal Cord Injury: Smartphone-based monitoring for clinical utility
Aayushi R Nirmal, Srinidhi Bhramvar and Hannah Mercier (Stony Brook University, USA)
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October 7, Thursday
Secure and Trustworthy Mobile Crowdsensing
Dr. Mingjun Xiao
SLICE 2021
Sustainability Impactness of Smart-Agri Architecture On Environment
Neena Alex (SRM University, AP, India), Jahfar Ali (IIIT, Hyderabad, India), Sobin C.C. (SRM University, AP, India)
A QoS-aware routing based on bandwidth management in Software-Defined IoT network
Priyanka Kamboj (IIT Ropar, India), Sujata Pal (IIT Ropar, India), Ambika Mehra (Chitkara University, India)
TASLT: Triangular Area Segmentation based Localization Technique for Wireless Sensor Networks using RSSI and AoA Measures - A New Approach
Kiran Kumar Mamidi (JNTUH College of Engineering Hyderabad, India), Kamakshi Prasad V (JNTUH College of Engineering Hyderabad, India)
Intrusion Detection System on Fog Architecture
Mansi Sahi, Mahip Soni, Nitin Auluck (IIT Ropar, India)
Congestion Control utilizing Software Defined Control Architecture at the Traffic Light Intersection
Vaibhav Garg (ABV-IIITM, India), Anuj Sachan (IITR, India), Neetesh Kumar (IITR, India), Sarthak Mittal (ABV-IIITM, India)
Impact of Clustering Algorithms and Energy Harvesting Scheme on IoT- WSN infrastructure
Ajay Chaudhary (Indian Institute of Technology, Roorkee, India), Sateesh K. Peddoju (Indian Institute of Technology, Roorkee, India)
CPSEC 2021
Hardware Speculation Vulnerabilities and Mitigations
Nathan Swearingen, and Ryan J Hosler (IUPUI, USA); Xukai Zou (Indiana University, USA)
Blockchain-Based Double Auction for Edge Cloud Resource Trading with Differential Privacy
Jie Huang, Yin Xu, Baoyi An and Mingjun Xiao (University of Science and Technology of China, China)
Privacy-Enhanced Crowdsourcing Data Trading based on Blockchain and Stackelberg Game
Zhiyuan Huang, Jun Zheng, Mingjun Xiao (University of Science and Technology of China, China)
FedDCS: Federated Learning Framework based on Dynamic Client Selection
Shutong Zou, Mingjun Xiao, Yin Xu, Baoyi An, Jun Zheng (University of Science and Technology of China, China)
REUNS 2021
Grace Yang, N. Sertac Artan and Alfredo J. Perez
Sean Perry (UC San Diego), Vaibhav Tiwari (UC San Diego), Nishant Balaji (UC San Diego), Erika Joun (UC San Diego), Jacob Ayers (UC San Diego), Mathias Tobler (San Diego Zoo Wildlife Alliance), Ian Ingram (San Diego Zoo Wildlife Alliance), Ryan Kastner (UC San Diego), and Curt Schurgers (UC San Diego)
Improvements to Worker Assignment in Bike Sharing Systems
Trent Johnson (Georgia Institute of Technology), and Jie Wu (Temple University)
WiFi-based Contactless Gesture Recognition Using Lightweight CNN
Keegan Kresge (Rochester Institute of Technology), Sophia Martino (Lehigh University), Tianming Zhao (Temple University), and Yan Wang (Temple University)
Safety Challenges and Solutions in Bike-Sharing Systems
Anne Kealy (University of Massachusetts Amherst), and Jie Wu (Temple University)
Once You Enter, You Can't Go Back: The Impacts of Joining a Hateful Subreddit
Kaitlyn Ko (University of Chicago), Keith Burghardt (University of Southern California), and Goran Muric (University of Southern California)
Keynote-2
Dr. Rebecca Shearman (CISE REU Program Director, US National Science Foundation) and Dr. Jeffrey Forbes (CISE REU Program Director, US National Science Foundation)
Best Paper Award Presentation. Presented
Dr. Grace Yang
Woolery: Toward Semantic Annotation of Structured Documents with FrameNet
Chloe Eggleston (University of Massachusetts Amherst), and Jeremy Abramson (University of Southern California)
Toxic Comment Detection: Analyzing the Combination of Text and Emojis
Michael Aquino (NY Institute of Technology), Yasiris Ortiz (The City College of NY), Arif Rashid, Anne M. Tumlin (University of South Carolina), N. Sertac Artan (NY Institute of Technology), Ziqian Dong (NY Institute of Technology), and Huanying Gu (NY Institute of Technology)
Platform for Comparative Study of Focus and Retention in Virtual Reality and Online Learning
Michael Macesker (Southern Conneticut State University), Rachel Morrow (Wesleyan University), Guang Wei Too (NY Institute of Technology), N. Sertac Artan (NY Institute of Technology), Ziqian Dong (NY Institute of Technology), and Huanying Gu (NY Institute of Technology)
Analyzing Race and Citizenship Bias in Wikidata
Zaina Shaik (University of Southern California), Filip Ilievski (University of Southern California), and Fred Morstatter (University of Southern California)
Pictures as a Form of Protest: A Survey and Analysis of Images Posted During the Stop Asian Hate Movement on Twitter
Oliver Allen (Indiana University), Emily Chen (University of Southern California), and Emilio Ferrara (University of Southern California)
A Vehicular Visible Light Communication Testbed Platform for Research and Teaching
Jarred Cain (Georgia State University), Kehinde Adedara (Georgia State University), and Ashwin Ashok (Georgia State University)
Keynotes
| Dr. Thyaga Nandagopal | A Vision for Next-Generation Networks |
| Dr. Yingying (Jennifer) Chen | Towards Intelligent Mobile Sensing: From Smart Access Systems Empowered by Vibration to Smart Health via WiFi |
| Dr. Jiannong Cao | Towards Distributed Intelligence in Future Edge Computing |
| Dr. Falko Dressler | Towards Cyber Physical Social Systems: On Networked Control and Human Interaction |
A Vision for Next-Generation Networks
Abstract
We are in the middle of deploying 5G networks around the world, and planning has started for what will become 6G/NextG network standards. Certain characteristics of communication networks, long desired by researchers, have been postulated for 4G and 5G standards, and yet have yet to see real-world implementations. As networks grow ever more diverse with the deployment of global satellite-based internet services and networks designed to support IoT devices, it is important to take stock of what are the desired functionalities of NextG systems. In this talk, I will provide an overview of essential design goals that researchers need to be aware of as they plan the research agenda to support the deployment of NextG networks.
Bio
Dr. Thyaga Nandagopal is the Deputy Division Director of the Computing and Communication Foundations (CCF) Division in the Directorate of
Computer & Information Science and Engineering (CISE) at the National Science Foundation. In this role, he oversees the division's investments in the
theory and foundations of computing systems and communications technologies, with an annual budget of nearly $200M. His current interests are in research
policy, quantum computing, artificial intelligence and advanced wireless networks (beyond 5G). He has brought in over $100M from external partners into
NSF-funded research programs. He previously served as a Program Director at the NSF in the Networking Technologies and Systems (NeTS) program, where he
managed mobile systems and wireless networking research across multiple funding programs with an annual budget of over $50M. At NSF, Thyaga is also leading
the Platforms for Advanced Wireless Research program, a $100M effort over the 2017 - 2024 timeframe. He serves as the co-chair of the Wireless Spectrum
Research and Development Senior Steering Group (WSRD SSG), which co-ordinates spectrum-related research and development activities across the Federal
government. Dr. Nandagopal is also a co-chair of the NSF-wide Quantum Leap Steering Committee, that coordinates NSF investments in inter-disciplinary
research in quantum computing, communications and sensing. He is an IEEE Fellow, and holds a Ph.D. degree in Electrical Engineering from the University
of Illinois at Urbana-Champaign.
For more information, please refer to
https://sites.google.com/site/thyagaresearch/curriculum-vitae.
Towards Intelligent Mobile Sensing: From Smart Access Systems Empowered by Vibration to Smart Health via WiFi
Abstract
With the advancement of mobile computing and mobile sensing, the concept of sensing has been revolutionized across various application domains. The talk will first overview new sensing solutions in smart home/city, smart healthcare, connected vehicles, and their security issues. It will then show the power of mobile sensing in two emerging areas: smart access systems (e.g., access to apartments, hotel rooms, and vehicles) and smart health (e.g., wellbeing monitoring). In particular, the talk introduces the idea of extending user authentication beyond traditional touch screens to any solid surface for smart access systems. The authentication approach builds upon a touch sensing technique with vibration signals that can operate on surfaces constructed from a broad range of materials (e.g., tabletop and door panel). It integrates passcode, behavioral and physiological characteristics, and surface dependency together to provide enhanced security for many applications in smart home/city. The talk will next present how to leverage a WiFi network as a sensing tool to track human vital signs during sleep, which serve as critical inputs for assessing the general physical health of a person and providing useful clues for diagnosing possible diseases. The proposed system exploits the WiFi signals for tracking vital signs of breathing and heart rates concurrently without dedicated/wearable sensors or additional hard infrastructure (e.g., USRP). The system utilizes the fine-grained channel state information embedded in WiFi signals to capture the minute body movements caused by breathing and heartbeats. The proposed system thus has the potential to be widely deployed in home environments and perform continuous long-term monitoring at a low-cost. Finally, the talk will share some new research directions with the aim of influencing the future of smart homes and smart cities.
Bio
Yingying (Jennifer) Chen is a Professor of Electrical and Computer Engineering and Peter Cherasia Endowed Faculty Scholar at Rutgers
University. She is the Associate Director of Wireless Information Network Laboratory (WINLAB). She also leads the Data Analysis and Information
Security (DAISY) Lab. She is an IEEE Fellow. Her research interests include mobile sensing and computing, cyber security and privacy, Internet
of Things, and smart healthcare. Her background is a combination of Computer Science, Computer Engineering and Physics. She had extensive industry
experiences at Nokia previously. She has published 200+ journal articles and conference papers. She is the recipient of 7 Best Paper Awards from
EAI HealthyIoT 2019, IEEE CNS 2018, IEEE SECON 2017, ACM AsiaCCS 2016, IEEE CNS 2014 and ACM MobiCom 2011. She is also the recipient of NSF CAREER
Award and Google Faculty Research Award. She received NJ Inventors Hall of Fame Innovator Award and is also the recipient of IEEE Region 1 Technological
Innovation in Academic Award. Her research has been reported in numerous media outlets including MIT Technology Review, CNN, Fox News Channel, Wall
Street Journal, National Public Radio and IEEE Spectrum. She has been serving/served on the editorial boards of IEEE Transactions on Mobile Computing
(IEEE TMC), IEEE Transactions on Wireless Communications (IEEE TWireless), IEEE/ACM Transactions on Networking (IEEE/ACM ToN) and ACM Transactions on
Privacy and Security. She is active in conference organization including serving as the Technical Program Co-chair of IEEE INFOCOM 2022, ACM MobiCom
2018, ACM WiSec 2019, IEEE CNS 2016, and IEEE MASS 2013 and the General Co-chair of IEEE/ACM CHASE 2020, IEEE DySPAN 2019, and ACM MobiCom 2016.
For more information, please refer to
http://www.winlab.rutgers.edu/~yychen/.
Towards Distributed Intelligence in Future Edge Computing
Abstract
The emerging advanced IoT applications in connected healthcare, industrial internet, multi-robot systems, and other areas demand higher intelligence of the connected devices, larger scale of the systems, and better decision making leveraged by analyzing the data being continuously generated and the advancement of AI technologies. In this context, centralized cloud computing would face high data transmission cost, high response time, and data privacy issues. The edge cloud paradigm seeks to alleviate these inefficiencies by moving the computation and analytics tasks closer to the end devices. It facilitates the evolution of IoT from instrumentation and interconnection to distributed intelligence. This talk focuses on future collaborative edge computing where edge nodes share data and computation resources and perform tasks by leveraging distributed intelligence. It covers the major problems in distributed collaboration at the edge we are currently studying, namely collaborative task execution, distributed machine learning, and distributed autonomous cooperation. Solutions need to address the challenging issues such as distributed data sources, conflicting network flows, heterogeneous devices, consistency, and mutual influence during the training.
Bio
Dr. Jiannong Cao is the Otto Poon Charitable Foundation Professor in Data Science and the Chair Professor of
Distributed and Mobile Computing in the Department of Computing at The Hong Kong Polytechnic University.
He is the director of Research Institute for AIoT, director of Internet and Mobile Computing Lab and the
associate director of University's Research Facility in Big Data Analytics. He served the department head
from 2011 to 2017. Dr. Cao's research interests include parallel and distributed computing, wireless networking and mobile
computing, big data and machine learning, and cloud and edge computing. He published 5 co-authored and 9
co-edited books, and over 500 papers in major international journals and conference proceedings. He also
obtained 13 patents. Dr. Cao received many awards for his outstanding research achievements. He is a member
of Academia Europaea, a fellow of IEEE and a distinguished member of ACM. In 2017, he received the Overseas
Outstanding Contribution Award from China Computer Federation.
For more information, please refer to
https://www4.comp.polyu.edu.hk/~csjcao/.
Towards Cyber Physical Social Systems: On Networked Control and Human Interaction
Abstract
Research on Cyber Physical Systems (CPS) has led to quite a number of astonishing technical solutions that are becoming standard in many application domains affecting our everyday life. The technical innovations range from control theory concepts to real-time wireless communication to networked control. Some of the most challenging applications include cooperative autonomous driving and industry automation. 5G and the Tactile Internet provide first technical solutions from a wireless communications perspective. At the same time, our research community is facing novel challenges related to the impact of individual human beings that are an integral part of the systems, both as an expert user as well as a source of disruption. We thus need a paradigm shift from classical CPS to Cyber Physical Social Systems (CPSS). Studying the impact of CPS on humans and vice versa, hybridization, i.e., machines and human users covering parts of the system function in deep interaction, is required as a novel core concept of such hybridized CPSS. In this talk, we discuss the challenges from a communications perspective based on examples of distributed control in the automotive environment such as cooperative driving.
Bio
Falko Dressler is full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, TU Berlin.
He received his M.Sc. and Ph.D. degrees from the Dept. of Computer Science, University of Erlangen in 1998 and 2003, respectively. Dr. Dressler has been
associate editor-in-chief for IEEE Trans. on Mobile Computing and Elsevier Computer Communications as well as an editor for journals such as IEEE/ACM Trans.
on Networking, IEEE Trans. on Network Science and Engineering, Elsevier Ad Hoc Networks, and Elsevier Nano Communication Networks. He has been chairing
conferences such as IEEE INFOCOM, ACM MobiSys, ACM MobiHoc, IEEE VNC, IEEE GLOBECOM. He authored the textbooks Self-Organization in Sensor and Actor
Networks published by Wiley & Sons and Vehicular Networking published by Cambridge University Press. He has been an IEEE Distinguished Lecturer as well as
an ACM Distinguished Speaker. Dr. Dressler is an IEEE Fellow as well as an ACM Distinguished Member. He is a member of the German National Academy of
Science and Engineering (acatech). He has been serving on the IEEE COMSOC Conference Council and the ACM SIGMOBILE Executive Committee. His research
objectives include adaptive wireless networking (sub-6GHz, mmWave, visible light, molecular communication) and wireless-based sensing with applications
in ad hoc and sensor networks, the Internet of Things, and Cyber-Physical Systems.
For more information, please refer to
https://www2.tkn.tu-berlin.de/team/dressler/.
Author Registration:
- Conference: IEEE member $350, non-member $420
- Workshop: IEEE member $220, non-member $265
Attending registration:
- $30 for all
Registration Policy:
- Author registration deadline for conference and workshop is August 5, 2021.
- At least one author of an accepted conference paper must register at the conference
rate by July 31, 2021. An author with multiple accepted conference
paper can have the discounted rate of $220 for each additional paper.
- Member registration rates are available for professional members of IEEE.
- At least one author of an accepted workshop paper must register at the workshop rate by July 31, 2021.
At least one author of an accepted poster/demo paper must register at the workshop rate by July 31, 2021.
- Conference paper page limit is 9. Workshop paper page limit is 6. Extra pages can be purchased at a cost of $150 each, up to two pages. Poster/demo paper page limit is 2 (no extra page is allowed).
Registration:
- The registration deadline has been extended to August 5, 2021 (hard deadline). Registration link: https://cvent.me/wQV1Kw . You can modify your registration by clicking Modify Registration on the registration link. Please email registration+MASS@computer.org if you need any assistance.
- The camera-ready version of accepted papers, for the main conference, poster/demo track, and workshops, should be submitted by July 31st, 2021
(hard deadline, no extension). Note that the camera-ready paper and copyright submissions are NOT through EDAS. Please follow the instructions
below to submit the camera-ready version of your paper and a copyright form at the following website:
https://ieeecps.org/#!/auth/login?ak=1&pid=pYfc2qtK9qInQU4F9T8CW - Instructions: Authors need to create an account first. The first page will be a "Sign In" page. After signing in, please follow the step-by-step instructions. Please DO NOT submit your camera-ready paper to EDAS. For main conference papers, the page limit for the camera-ready paper is 9 pages with an option of purchasing up to 2 additional pages ($150 per page). Manuscripts cannot exceed 11 pages in total. Poster and demo papers should be 2 pages and the workshop page-limit is 6 pages. All papers must follow the standard IEEE camera-ready format as specified on the MASS 2021 website.
Important Dates
Registration Deadlines
- (EXTENDED)Registration Deadline for Authors:
July 31August 5 (firm)
- Registration:
Follow this link to finish your registration
Call for Papers
- (EXTENDED) Paper Submission Due:
April 15May 15 (firm)
- Acceptance Notification :July 8
- Camera-ready Version : July 31
- Conference Dates : October 4-7
Follow this link to submit your paper to IEEE MASS 2021
Call for Demos & Posters
- (EXTENDED) Abstract Submission Due :
July 9July 13
- Acceptance Notification : July 23
- Camera-ready Version : July 31
Follow this link to submit demos & posters to IEEE MASS 2021
Call for Workshop Proposals
- Proposal Submission : March 30
- Acceptance Notification : April 15
Important Dates
- (EXTENDED) Paper Submission Due:
April 15May 15 (firm)
- Acceptance Notification : July 8
- Camera-ready Version : July 31
- Conference Dates : October 4-7
Call for Papers
IEEE MASS 2021 is a premier annual forum for sharing original, novel ideas in mobile ad-hoc networks and smart systems, defined broadly. As wireless ad-hoc networks continue to evolve and specialize into a number of application scenarios and environments, and sensor-based systems and technologies increasingly permeate our everyday life and become the inner fabric of the Internet of Things and cyber-physical systems, the unfolding of smart environments such as smart cities, smart farming, smart healthcare, and smart manufacturing, to name a few, demand integrated solutions that can make intelligent use of both cloud and edge systems, while applying machine learning and artificial intelligence tools to handle their growing complexity and to leverage the vast amount of available data.
Sponsored by the IEEE Computer Society, the 18th edition of the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) will be held as a virtual event in 2021, and it aims at bringing together researchers, developers, and practitioners to address recent advances in mobile ad-hoc and smart systems, covering algorithms, theory, protocols, systems & applications, experimental evaluations and testbeds, security/privacy, as well as AI/ML-based smart design.
Topics of interest
Original, unpublished contributions are solicited in all aspects of mobile ad hoc networks (MANETs) and smart systems, from mobile networking/computing to cyber-physical systems to Internet of Things, from theory to systems and applications. Topics of interest include, but are not limited to:
- 5G networks and technologies
- AI/ML for smart wireless networks
- AI and machine learning aided protocol design and resource allocation
- AI and machine learning based applications for ad hoc networks
- Algorithms for MANETs and WSNs
- Application Layer Protocols
- Clustering, topology control, coverage, and connectivity
- Cognitive networking
- Cooperative and cognitive communication
- Cooperative sensing, compressive sensing, sensing from communications
- Cloud, crowd-sourced, participatory and (mobile) social sensing
- Cyber-physical systems and applications
- Data gathering, fusion, and dissemination
- Energy-efficient architectures, algorithms, and protocols
- Experiences in real-world applications and deployments
- Flying Ad-Hoc Networks
- Free-space optical networks
- Heterogeneous networks
- Internet of Things (IoT) devices, gateways, and infrastructure
- Light-weight distrib
- Localization and Location Based Services
- Measurements, experimental systems and test-beds
- Mobile computing and networking
- mmWave and Terahertz networks
- Mobility modeling and management
- Multi-channel, multi-radio and MIMO technologies
- Network components, operating systems, and middleware
- Opportunistic networking, delay tolerant networking
- QoS and Resource management
- Robotic networks
- Routing protocols
- Scalability, stability, and robustness of networks and sensor systems
- Security and privacy at all layers, including the physical layer
- Sensor enabled drone, UAV, UUV systems
- Smart grid, healthcare, transportation applications
- Vehicular networks and protocols
- Visible light communications
- Wearable and human-centric devices and networks
Paper Submission Instructions
Authors are invited to submit original, unpublished research papers that are not currently under review elsewhere. All submissions should be written in English with a maximum length of 9 single-spaced, double-column pages using 10pt fonts on 8.5 x 11 inch paper, including all figures, tables, and references, in PDF format. Authors must use the Manuscript Templates for IEEE Conference Proceedings. IEEE MASS adopts single-blind review (i.e., the authors' names and affiliations must appear in the submitted paper). Accepted papers will appear in the conference proceedings published by IEEE and will be presented at the conference.
No more than two (2) additional pages may be included in the camera-ready accepted paper, and the extra pages will incur an over length page charge of USD $150. For all papers, IEEE reserves the right to exclude the paper from distribution after the conference (e.g., removal from IEEE Xplore) if the paper is not presented at the conference. Note that the conference will also include a poster and demo session.
Important Dates
- (EXTENDED) Abstract Submission Due :
July 9July 13
- Acceptance Notification : July 23
- Camera-ready Version : July 31
Call for Demos
IEEE MASS 2021 will feature a demo session that provides a forum for mobile ad-hoc and smart systems researchers and developers from academia, industry, and government to interact with and explore the latest research results. Towards this goal, IEEE MASS 2021 solicits demonstrations presenting recent original results or ongoing research. Authors are invited to submit interesting results on all aspects of ad hoc and smart systems, including algorithms, protocols, applications, new research prototypes, testbeds, among others. Demonstrations allow a one-to-one interaction with attendees and authors, where the benefits of the proposed research can be practically highlighted, thereby enhancing its impact.
Submission Instructions
Demonstration abstracts of no more than 2 pages (US letter size 8.5 x 11 inches) using font size 10 should be submitted via EDAS. This extended abstract should include a figure of the system that shall eventually be demonstrated to the audience. Authors are allowed up to one additional page for listing any specific requirements (such as space, general purpose WiFi, non interfering wireless channels, power supply needs) and the organizers will earnestly look into arranging this support. Please include names of the authors, affiliations and e-mail addresses in the abstract. The authors with accepted demos are allowed to display a poster for presentation (additional details on the poster dimensions will be provided closer to the submission deadline). The accepted demo abstracts will be published in IEEE Xplore.
Call for Posters
Posters presenting early work and preliminary results are solicited. The poster session will provide an excellent opportunity for initial feedback on early research results as lively discussions. Posters are solicited in all areas of mobile ad hoc and sensor networking, and this session will be particularly useful for student researchers for direct interaction with faculty, industry personnel, and other peers.
Submission Instructions
Poster abstracts of no more than 2 pages (US letter size 8.5 x 11 inches) using font size 10 should be submitted via EDAS. This extended abstract should include all figures and references, the names of the authors, affiliations, and e-mail addresses. The accepted poster abstracts will be published in IEEE Xplore. The authors with accepted abstracts are required to prepare a poster for presentation at the conference in a standard format, whose dimensions will be indicated closer to the submission deadline. Boards and thumbtacks will be provided.
Follow this link to submit your posters/demos to IEEE MASS 2021
Important Dates
- Proposal Submission : March 30
- Acceptance Notification : April 15
Call for Workshop Proposals
The 18th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS 2021) is the meeting point for leading researchers in the thriving area of wireless ad hoc communications, sensor, and actuator networks. Topics of IEEE MASS cover a large range of scientific areas, spanning topics from computer science, physics, embedded systems, electrical engineering, control theory, as well as application areas such as disaster recovery and rescue operations, environmental monitoring, smart cities, smart grids, health applications, and many more.
Continuing this tradition, the 18th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) will be held as a virtual event in 2021. Since its very beginning in 2004, MASS also offers a range of associated workshops, which cover special topics and applications in wireless ad hoc and sensor networks. During the last years, up to ten workshops have been held each year in conjunction with MASS, with some of the workshops already having seen their seventh edition. Each workshop will provide an arena for presentations and discussions about a special topic of relevance to MASS. IEEE MASS 2021 now invites the submission of workshop proposals.
Workshop Submission Instructions
Proposals should be submitted in a maximum 3-page PDF file to the IEEE MASS 2021 workshop chairs: Aline Carneiro Viana(aline.viana@inria.fr) and Mingjun Xiao(xiaomj@ustc.edu.cn) , with the email subject tag [MASS 2021 Workshop Proposal] and containing the following information:
- Workshop title
- Abstract (maximum 200 words)
- The topics of the workshop and how it relates to MASS
- Workshop organizers, including contact information, short bio, affiliation and previous experience with organising scientific events
- Proposed Technical Program Committee (tentative)
- Planned submission and review procedure
- Planned format:
- Expected duration of the workshop (half-day or full-day)
- Keynotes, panels, invited presentations, submitted presentations, etc.
- Expected virtual workshop procedure (tool, recorded presentation videos, or fully on-line, the use of virtual space or not)
- A rough estimate of the number of participants and their profile
- Information on previous editions (hosting conference, date, and number of attendees), if any.
Workshops
About
IEEE MASS is a premier annual forum for sharing original, novel ideas in mobile ad-hoc networks and smart systems, defined broadly. IEEE MASS 2021 will include a peer-reviewed program of technical sessions, workshops, posters and demonstration sessions, panel, as well as keynotes from leading names in industry and academia.
Past IEEE MASS Conferences
- IEEE MASS 2020 Delhi, NCR, India, on Dec.10-13, 2020
- IEEE MASS 2019 Monterey, CA, USA, on Nov.4-7, 2019
- IEEE MASS 2018 Chengdu, Sichuan, China, on Oct.9-12, 2018
- IEEE MASS 2017 Orlando, FL, USA, on October 22-25, 2017
- IEEE MASS 2016 Brasilia, Brazil, October 10-13, 2016
- IEEE MASS 2015 Dallas, Texas, USA, October 19-22, 2015
- IEEE MASS 2014 Philadelphia, October 27-30 , 2014
- IEEE MASS 2013 Hangzhou, Zhejiang, China, October 14-16, 2013
- IEEE MASS 2012 Las Vegas, USA, October 8-11, 2012
- IEEE MASS 2011 Valencia, Spain, October 17-22, 2011
- IEEE MASS 2010 San Francisco, CA, USA, November 8-12, 2010
- IEEE MASS 2009 Macau SAR, China, October 5-9, 2009
- IEEE MASS 2008 Atlanta, Georgia, USA, September 29-October 2, 2008
- IEEE MASS 2007 Pisa, Italy, October 8-11, 2007
- IEEE MASS 2006 Vancouver, BC, Canada, October 9-12, 2006
- IEEE MASS 2005 Washington, DC, USA, Nov. 7-10, 2005
- IEEE MASS 2004 Fort Lauderdale, FL, USA, Oct. 24-27, 2004