Particle swarm optimization-based energy efficient target tracking in wireless sensor network

被引：19
|
作者：
Parvin, J. Rejina [1 ]
Vasanthanayaki, C. [2 ]
机构：
[1] Sri Krishna Coll Engn & Technol, Dept Elect & Commun Engn, Coimbatore, Tamil Nadu, India
[2] Govt Engn Coll, Dept Elect & Commun Engn, Salem, India
来源：
MEASUREMENT | 2019年 / 147卷
关键词：
WSN; Target tracking; Maximum entropy; PSO;
D O I：
10.1016/j.measurement.2019.106882
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Wireless Sensor Network plays a vital role in tracking the mobility of targets like animals for habitat monitoring, vehicle monitoring etc. Many researches have been carried out for the precise identity of the target. In this research work, a distributed energy optimization method for target tracking is carried out using Particle Swarm Optimization. The proposed work is comprised of estimation phase and prediction phase. Here, clustering is performed using maximum entropy method. Grid exclusion is used for the coverage of nodes in the network. Performance evaluation is carried out for the proposed target tracking method with the existing systems using network simulator software. (C) 2019 Elsevier Ltd. All rights reserved.
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页数：8
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