Optimization of the Directional Sensor Networks With Rotatable Sensors for Target-Barrier Coverage

被引:15
|
作者
Chen, Gong [1 ,2 ]
Xiong, Yonghua [1 ,2 ]
She, Jinhua [3 ]
Wu, Min [1 ,2 ]
Galkowski, Krzysztof [4 ]
机构
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Peoples R China
[3] Tokyo Univ Technol, Sch Engn, Tokyo 1920982, Japan
[4] Univ Zielona Gora, Inst Control & Computat Engn, PL-65417 Zielona Gora, Poland
基金
中国国家自然科学基金;
关键词
Sensors; Wireless sensor networks; Belts; Optimization; Particle swarm optimization; Biological system modeling; Surveillance; Directional sensor networks; target-barrier coverage; virtual barrier curve; particle swarm optimization;
D O I
10.1109/JSEN.2020.3045138
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In wireless sensor networks (WSNs), the barrier coverages sensing belt can be open or closed. A closed belt is more difficult to construct than an open belt, as it has higher requirements, especially for the directional sensor networks (DSNs) with rotatable sensors. A target-barrier is a closed annular belt around a target with anti-intrusion and surveillance protection functions for both the inside and outside of the belt. Thus, a target-barrier is well suited to many applications including ecological reserve monitoring and contamination monitoring. In this paper, we employ the Virtual Target-barrier Construction (VTBC) method to facilitate its construction. First, we define and calculate a virtual barrier curve in order to convert the complicated target-barrier construction problem in a rotatable DSN into a much simpler optimization problem. Then, a distributed particle swarm optimization (D-PSO) algorithm is designed to achieve a near optimal coverage of the closed virtual barrier curve. Finally, simulations are presented to prove that VTBC has a better performance than other approaches.
引用
收藏
页码:8276 / 8288
页数:13
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