Optimizing Military Tactical MANETs Efficiently Using PSO

Date:  Nov. 2, 2009
Time: 3:30 p.m.
Place:  1103 Shelby Center

Younchol (Eric) Cho
Doctoral student
Department of Industrial and Systems Engineering

Cho joined the department's doctoral program in 2005. He graduated from the Republic of Korea (ROK) Naval Academy and received a master's degree from the Korea National Defense University in South Korea. He currently serves as a lieutenant commander in the ROK Navy.

Abstract

Optimizing Military Tactical MANETs Efficiently Using PSO
Cho will talk on the current status of MANETs in the military equipment and software industry. Because MANETs are self-configuring networks of autonomous agents designed to continuously support users who change the topology of the network dynamically and independently, problems with these networks can result from their dynamic mobility, causing communication links to disconnect. Military operations require the efficient use of limited resources and occasionally sacrifice network performance to accomplish given missions, which can expose networks to dangerous environments that are at risk of invasion by enemy activity.

Cho will present a proposed population-based heuristic algorithm called Partide Swarm Optimization (PSO) that could address these MANET challenges. He will also discuss the development and testing of the Pre-deployed Agent Level (PAL), the messenger agent and the priority node that are all crucial constructs of the algorithm. He will also demonstrate how this proposed model better represents military MANETs by considering enemy obstacles and military operation characteristics.