Dynamic sensor management using multi-objective particle swarm optimizer

Kalyan K. Veeramachaneni; Lisa Ann Osadciw

doi:10.1117/12.542927

12 April 2004 Dynamic sensor management using multi-objective particle swarm optimizer

Kalyan K. Veeramachaneni, Lisa Ann Osadciw

Proceedings Volume 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004; (2004) https://doi.org/10.1117/12.542927
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

This paper presents a Swarm Intelligence based approach for sensor management of a multi sensor network. Alternate sensor configurations and fusion strategies are evaluated by swarm agents, and an optimum configuration and fusion strategy evolves. An evolutionary algorithm, particle swarm optimization, is modified to optimize two objectives: accuracy and time. The output of the algorithm is the choice of sensors, individual sensor’s thresholds and the optimal decision fusion rule. The results achieved show the capability of the algorithm in selecting optimal configuration for a given requirement consisting of multiple objectives.

Citation Download Citation

Kalyan K. Veeramachaneni and Lisa Ann Osadciw "Dynamic sensor management using multi-objective particle swarm optimizer", Proc. SPIE 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004, (12 April 2004); https://doi.org/10.1117/12.542927

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