Target classification in Wireless Sensor Network using Particle Swarm Optimization (PSO)
Khaled M. Gharaibeh, Abdullah Yaqot · 2012
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.