基于离散粒子群算法的非凸区域传感器优化部署

A. Majid, E. Joelianto
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引用次数: 13

摘要

随着无线传感器网络(WSN)的迅速发展,其在军事、工业、医疗和环境等方面的应用越来越广泛。提高无线传感器网络的覆盖范围是无线传感器网络部署的主要问题之一。最大的覆盖范围确保了无线传感器网络的更好的效用。本文考虑使用离散粒子群优化(Discrete Particle Swarm Optimization, PSO)算法来处理非凸区域的最优部署问题。仿真结果表明,与随机传感器部署相比,离散粒子群算法的性能有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal sensor deployment in non-convex region using Discrete Particle Swarm Optimization algorithm
The rapid development of Wireless Sensor Network (WSN) has increased its application in the military, industry, medical, and environment. Coverage improvement is one of the main issue in WSN deployment. Maximum coverage ensures a better utility of the WSN. This paper considers the use of Discrete Particle Swarm Optimization (Discrete PSO) algorithm to deal with optimal deployment problem in non-convex region. Simulation results show that the Discrete PSO algorithm leads to performance improvement compared with random sensor deployment.
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