Sensor Deployment Scheme Based on Social Spider Optimization Algorithm for Wireless Sensor Networks

被引：1
|
作者：
Yongquan Zhou
Ruxin Zhao
Qifang Luo
Chunming Wen
机构：
[1] Guangxi University for Nationalities,College of Information Science and Engineering
[2] Key Laboratories of Guangxi High Schools Complex System and Computational Intelligence,undefined
来源：
Neural Processing Letters | 2018年 / 48卷
关键词：
Wireless sensor network; Social spider optimization algorithm; Sensor deployment scheme;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Wireless sensor networks (WSNs) consist of large numbers of micro-sensor nodes that have both communication and computing capabilities. The size of the coverage area of each sensor node determines the overall performance of the WSN. In this paper, a novel sensor deployment scheme based on the social spider optimization (SSO) algorithm is proposed to enable increased coverage for WSNs. In the SSO algorithm, the individual simulated social spiders’ habits and their labor and cooperation efforts are divided according to gender differences. Simulations experiment are used to demonstrate the effectiveness of the proposed method.
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页码：71 / 94
页数：23
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