Target Classification in Wireless Sensor Network Using Particle Swarm Optimization (PSO)

被引：0
|
作者：
Gharaibeh, Khaled M. [1 ]
Yaqot, Abdullah [2 ]
机构：
[1] Yarmouk Univ, Telecommun Engn Dept, Irbid 21163, Jordan
[2] Univ Sci & Technol, Elect Engn Dept, Sanaa, Yemen
来源：
2012 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS 2012) | 2012年
关键词：
wireless sensor networks; target tracking; target classification; particle swarm optimization; VEHICLE CLASSIFICATION; TRACKING;
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
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.
引用
收藏
页码：146 / 150
页数：5
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