期刊论文

An Improved Clustering Routing Algorithm Based on Particle Swarm Optimization in WSN

中文

通信技术

1002-0802

2023

56

01

56-61

10.3969/j.issn.1002-0802.2023.01.009

2018SK2055:湖南省重点研发计划项目 11875164:国家自然科学基金 2021JJ50093:湖南省市联合自然科学基金项目

本校为第一机构

针对WSN中路由协议的能量消耗不均匀、簇头节点分布不均匀等问题基于粒子群算法提出了一种寻找最优簇头的方法：引入了剩余能量因子和位置均衡因子的概念，由节点的剩余能量因子和位置均衡因子生成适应度函数；利用Kruskal算法生成最小生成树，建立簇间最短路由。经仿真实验证明，相较于传统的WSN路由协议，该算法有效延长了网络的生命周期，并在一定程度上提高了均衡性。

To address the problems of uneven energy consumption and uneven distribution of cluster head nodes in routing protocols in WSN,a method to find the optimal cluster heads is proposed based on particle swarm algorithm.The concepts of residual energy factor and position eq...MORE To address the problems of uneven energy consumption and uneven distribution of cluster head nodes in routing protocols in WSN,a method to find the optimal cluster heads is proposed based on particle swarm algorithm.The concepts of residual energy factor and position equalization factor are introduced to generate fitness...