Coverage optimization algorithm for hybrid wireless sensor networks

ZHANG Jun; SHAO Xiao-qian; HOU Xiang-dan

doi:10.13873/J.1000-9787(2018)12-0148-02

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Coverage optimization algorithm for hybrid wireless sensor networks

更新时间：2025-09-11

- Coverage optimization algorithm for hybrid wireless sensor networks
- Issue 12, Pages: 148-149+152(2018)
- 作者机构：
  
  1. 河北工业大学计算机科学与软件学院
  2. 河北省大数据计算重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2018)12-0148-02
  CLC： TN929.5;TP212.9
- Published：2018
- 稿件说明：
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ZHANG Jun, SHAO Xiao-qian, HOU Xiang-dan. Coverage optimization algorithm for hybrid wireless sensor networks[J]. 2018, (12): 148-149+152.
DOI：

ZHANG Jun, SHAO Xiao-qian, HOU Xiang-dan. Coverage optimization algorithm for hybrid wireless sensor networks[J]. 2018, (12): 148-149+152. DOI： 10.13873/J.1000-9787(2018)12-0148-02.

摘要

在无线传感器网络中

带有移动节点的混合网络引起学者的兴趣。为了解决混合无线传感器网络中的网络有效覆盖问题和移动节点的优化部署问题

提出一种新的混合无线传感器网络覆盖优化算法(IVABC)。算法基本思想是对固定节点进行Voronoi多边形划分;利用划分结果分析固定节点的覆盖盲区;利用基于反向学习策略的蜂群算法优化部署移动节点;在网络覆盖率最优化的同时

有效减少网络迭代次数。

Abstract

In order to solve the problem of network effective coverage and mobile node deploying optimization in hybrid wireless sensor networks with mobile nodes

a new hybrid wireless sensor networks coverage optimization algorithm

improved Voronoi ABC（ IVABC） is proposed. The basic idea of the algorithm is to divide Voronoi polygon of fixed nodes

coverage blind area of the fixed node is analyzed by using the partition result. Using the bee colony algorithm based on the reverse learning strategy for optimization and deployment of mobile nodes; the number of network iterations is effectively reduced while the network coverage is optimized.

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