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Author Veeramachaneni, Kalyan ♦ Osadciw, Lisa Ann
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Multi Sensor Network ♦ Optimum Configuration ♦ Fusion Strategy ♦ Individual Sensor ♦ Multiple Objective ♦ Swarm Intelligence ♦ Optimal Decision Fusion Rule ♦ Evolutionary Algorithm ♦ Optimal Configuration ♦ Swarm Agent ♦ Sensor Management ♦ Particle Swarm Optimization ♦ Alternate Sensor Configuration
Description This paper presents a Swarm Intelligence based approach for sensor management of a multi sensor networks. 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.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2004-01-01
Publisher Institution Swarm Optimizer”, SPIE Defence and Security Symposium, April 16-20, 2004