基于三链混合遗传算法的WSNs 中 Sink节点布局优化

刘燕

电脑与电信 ›› 2016, Vol. 1 ›› Issue (8) : 13-15.

电脑与电信 ›› 2016, Vol. 1 ›› Issue (8) : 13-15.
基金项目

基于三链混合遗传算法的WSNs 中 Sink节点布局优化

  • 刘燕
作者信息 +

Sink Node Location Optimization for WSNs Based on Improved Three Chain Hybrid Genetic Algorithm

  • Liu Yan
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文章历史 +

摘要

对无线传感器网络的设计和布局中,多Sink 节点的布局是其拓扑设计的关键,对网络通信的能量控制至关重 要。本文通过分析其Sink 节点布局模型,提出一种改进的三链混合遗传算法对Sink 节点布局求取最优解。实验表明,三链混 合遗传算法在针对Sink 节点的布局算法中相对于枚举算法,具有较优解,并且算法效率高,可降低无线传感器网络的能耗,改 善网络性能。

Abstract

In the design and layout of Wireless Sensor Networks (WSNs), multiple Sink node locating is the key step in network topology. It is very important to control energy-consumption of network communication. By analyzing the layout of Sink node model, an improved three chain hybrid genetic algorithm is proposed to solve the Sink node’s optimal location problem. The experimental results show that compared with the enumeration algorithm, the three chain hybrid genetic algorithm for the Sink node has better solutions and higher efficiency of the algorithm, which can reduce the energy consumption of wireless sensor networks and improve the network performance.

关键词

无线传感器网络 / Sink 节点布局 / 三链混合遗传算法

Key words

wireless sensor networks (WSNs) / Sink node locating / three chain hybrid genetic algorithm

引用本文

导出引用
刘燕. 基于三链混合遗传算法的WSNs 中 Sink节点布局优化[J]. 电脑与电信. 2016, 1(8): 13-15
Liu Yan. Sink Node Location Optimization for WSNs Based on Improved Three Chain Hybrid Genetic Algorithm[J]. Computer & Telecommunication. 2016, 1(8): 13-15
中图分类号: TP393   

基金

广东省教育厅创新强校工程重点平台建设、培育项目,项目编号:2014KTSCX173;嘉应学院自然科学研究项目,项目编号:314E23。

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