基于模糊决策的网络簇首选举算法

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。

Cluster Head Election Algorithm Based on Fuzzy Decision

Classified cluster network is the most common self-organized network architecture, and cluster head election is thekey technology of network management. The popular election algorithm is compared and a composite weighted election algorithmbased on fuzzy decision is proposed. Based on the analysis of many evaluation factors of nodes, a fuzzy evaluation model isestablished, and the implementation process of the algorithm is described in detail, and then the applicability of the algorithm isverified through simulation.