A Particle Swarm Optimization for Hybrid Wireless Sensor Networks Coverage

ZENG Guang-po; ZHONG Yuan-chang; FAN Hui-lian

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A Particle Swarm Optimization for Hybrid Wireless Sensor Networks Coverage

更新时间：2026-09-04

- A Particle Swarm Optimization for Hybrid Wireless Sensor Networks Coverage
- Vol. 28, Issue 8, Pages: 105-107(2011)
- 作者机构：
  
  1. 长江师范学院机构数学与计算机学院,重庆涪陵,408100
  2. 重庆大学通信工程学院,重庆,400030
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
移动端阅览
曾广朴, 仲元昌, 范会联. 混合无线传感网络覆盖优化的粒子群算法[J]. 微电子学与计算机, 2011, 28(8): 105-107,111.

ZENG Guang-po, ZHONG Yuan-chang, FAN Hui-lian. A Particle Swarm Optimization for Hybrid Wireless Sensor Networks Coverage[J]. 2011, 28(8): 105-107.
曾广朴, 仲元昌, 范会联. 混合无线传感网络覆盖优化的粒子群算法[J]. 微电子学与计算机, 2011, 28(8): 105-107,111. DOI：

ZENG Guang-po, ZHONG Yuan-chang, FAN Hui-lian. A Particle Swarm Optimization for Hybrid Wireless Sensor Networks Coverage[J]. 2011, 28(8): 105-107. DOI：

摘要

为提高随机部署的传感网络覆盖性能

提出基于动态克隆粒子群的移动节点部署控制算法

用每个粒子表示所有移动节点的一种部署方案

在经典粒子群算法基础上

每次迭代结束后

粒子依据自身的覆盖性以及与群体中粒子的相似性决定其克隆数量和变异幅度

有效避免陷入早熟陷阱.通过与其他算法的对比仿真实验

表明该优化算法能更有效地提高网络覆盖性能.

Abstract

To optimizing the coverage performance

this paper proposed a strategy which is based on particle swarm optimization(PSO) with dynamic clone.The algorithm control clone numbers and variation range of particle

which represents the positions of all mobile sensor nodes

by coverage rate and similarity among the swarm

so can avoid being trapped in local optima.The results of simulation show that the algorithm is able to more improve the coverage of the networks than the compared algorithm.

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