Hybrid WSN Node Deployment Optimization Strategy Based on CS Algorithm

被引：2

作者：

Xiang, Tingli ^{[1
]}

Wang, Hongjun ^{[1
]}

Shi, Yingchun ^{[1
]}

机构：

[1] Natl Univ Def Technol, Hefei, Anhui, Peoples R China

来源：

PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

wireless sensor network; hybrid sensor network; cuckoo search; coverage;

D O I：

10.1109/itnec.2019.8729481

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The performance of wireless sensor network (WSN) system is significantly affected by the coverage quality. For the problem of low coverage of static sensor network nodes and high deployment cost of mobile sensor network nodes, a hybrid sensor network based on cuckoo search (CS) is studied. Node deployment optimization strategy. Firstly, the candidate target position of the mobile node is initially determined by the CS algorithm, and then the position optimization scheme is used to reduce the number of mobile nodes and the average moving distance. The experimental results show that the proposed algorithm can effectively optimize the deployment of mobile nodes in hybrid WSN, improve the coverage of target areas, and reduce the energy consumption of nodes.

引用

页码：621 / 625

页数：5

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