A PSO based Energy Efficient Coverage Control Algorithm for Wireless Sensor Networks

• 作者: Arun Kumar Sangaiah Chunwei Ju Gwang-jun Kim Jin Wang Yu Gao
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 工学
• 关键词: PARTICLE SWARM optimization COVERAGE control energy efficiency WIRELESS SENSOR networks
• 年，卷（期）: 2018,（9）
• 页码范围: 433-446
• 页数: 14页
• 分类号: TN9

摘要

Wireless Sensor Networks(WSNs)are large-scale and high-density networks that typically have coverage area overlap.In addition,a random deployment of sensor nodes cannot fully guarantee coverage of the sensing area,which leads to coverage holes in WSNs.Thus,coverage control plays an important role in WSNs.To alleviate unnecessary energy wastage and improve network performance,we consider both energy efficiency and coverage rate for WSNs.In this paper,we present a novel coverage control algorithm based on Particle Swarm Optimization(PSO).Firstly,the sensor nodes are randomly deployed in a target area and remain static after deployment.Then,the whole network is partitioned into grids,and we calculate each grid’s coverage rate and energy consumption.Finally,each sensor nodes’sensing radius is adjusted according to the coverage rate and energy consumption of each grid.Simulation results show that our algorithm can effectively improve coverage rate and reduce energy consumption.