基于多属性决策TOPSIS的簇头选择

doi:10.19678/j.issn.1000-3428.0048411

计算机工程 ›› 2019, Vol. 45 ›› Issue (1): 45-49,54. doi: 10.19678/j.issn.1000-3428.0048411

基于多属性决策TOPSIS的簇头选择

王林,梁濛

西安理工大学自动化与信息工程学院,西安 710048

收稿日期:2017-08-21 出版日期:2019-01-15 发布日期:2019-01-15
作者简介:王林(1962—),男,教授、博士,主研方向为无线传感器网络、数据挖掘;梁濛,硕士研究生
基金资助:
陕西省科技计划重点项目(2017ZDCXL-GY-05-03)

Cluster Head Selection Based on TOPSIS with Multi-attribute Decision Making

WANG Lin,LIANG Meng

College of Automation and Information Engineering,Xi’an University of Technology,Xi’an 710048,China

Received:2017-08-21 Online:2019-01-15 Published:2019-01-15

摘要/Abstract

摘要：

针对LEACH协议中因簇头数目和分布位置不合理导致网络能耗不均衡的问题,利用多属性决策逼近理想解排序法(TOPSIS) 进行簇头选择。综合考虑节点的剩余能量、邻居节点数量、到基站的距离和传输范围,使用Pareto最优解选择一组簇头, 进而通过TOPSIS算法进行排序选出最佳簇头。仿真结果表明,TOPSIS在剩余节点数和网络能耗上优于LEACH和AHP算法,能够有效延长网络生命周期,使网络能耗更均衡。

关键词: 无线传感器网络, 多属性决策, 簇头选择, 逼近理想解排序法, Pareto最优解

Abstract:

Aiming at the problem of unbalanced network energy consumption caused by the unreasonable number and distribution of Cluster Head(CH) in LEACH protocol,a CH selection method based on multi-attribute decision approximation Technique for Order Preference by Similarity to Ideal Solution(TOPSIS) is proposed.By taking into account the residual energy of nodes,number of neighbor nodes,distance to base station and transmission range,a group of CHs is selected by Pareto optimal solution.Then,the optimal CH is selected by TOPSIS.Simulation results show that TOPSIS is superior to LEACH and Analytical Hierarchy Process(AHP) in terms of the number of remaining nodes and network energy consumption,and it can effectively extend the network life cycle and make the network energy consumption more balanced.

Key words: Wireless Sensor Network(WSN), multi-attribute decision making, Cluster Head(CH) selection, Technique for Order Preference by Similarity to Ideal Solution(TOPSIS), Pareto optimal solution

中图分类号:

TP393

王林,梁濛. 基于多属性决策TOPSIS的簇头选择[J]. 计算机工程, 2019, 45(1): 45-49,54.

WANG Lin,LIANG Meng. Cluster Head Selection Based on TOPSIS with Multi-attribute Decision Making[J]. Computer Engineering, 2019, 45(1): 45-49,54.

https://www.ecice06.com/CN/Y2019/V45/I1/45

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