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Target classification in Wireless Sensor Network using Particle Swarm Optimization (PSO)

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2 Author(s)
Gharaibeh, K.M. ; Telecommun. Eng. Dept., Yarmouk Univ., Irbid, Jordan ; Yaqot, A.

Target classification is one of the main requirements of target tracking processes in military Wireless Sensor Networks (WSN). In this paper, a new sub-optimal target classification approach based on Particle Swarm Optimization (PSO) is proposed. The PSO classification algorithm is shown to have better classification accuracy and processing speed as compared to the k-Nearest Neighbor (kNN) and Maximum Likelihood classification algorithms.

Published in:

Sensors Applications Symposium (SAS), 2012 IEEE

Date of Conference:

7-9 Feb. 2012