基于模糊决策的网络簇首选举算法  

Cluster Head Election Algorithm Based on Fuzzy Decision

作　　者：丁晟皓 李小南[1] DING Shenghao;LI Xiaonan

机构地区：[1]西安电子科技大学,西安710026

出　　处：《现代导航》2023年第5期381-386,共6页Modern Navigation

摘　　要：分级分簇网络是目前最为常见的自组织网络架构,簇首选举是其网络管理的关键技术。研究比较了常用的簇首选举算法,提出了一种基于模糊决策的复合加权簇首选举算法。在对节点诸多评价因素进行分析的基础上,建立了模糊评判模型,详细描述了算法的实现流程,并通过仿真验证了算法的适用性。Classified cluster network is the most common self-organized network architecture,and cluster head election is the key technology of network management.The popular election algorithm is compared and a composite weighted election algorithm based on fuzzy decision is proposed.Based on the analysis of many evaluation factors of nodes,a fuzzy evaluation model is established,and the implementation process of the algorithm is described in detail,and then the applicability of the algorithm is verified through simulation.

关 键 词：无线自组织网络 簇首 加权分簇 模糊决策 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]