基于粒子群优化算法的无线传感器网络路由方法设计
Design of Wireless Sensor Network Routing Method Based on Particle Swarm Optimization Algorithm
陈锐 1马潇 1杜永红 1李家金1
作者信息
- 1. 中国石油天然气股份有限公司 塔里木油田分公司,新疆 841000
- 折叠
摘要
为了减少无线传感网络能量消耗,并延长无线传感网络生命周期,设计基于粒子群优化算法的无线传感网络路由方法.构建无线传感器网络模型,初步划分无线传感器网络簇,通过自适应压缩因子粒子群算法获取传感网络最优簇首,簇首为成员性节点分配TD-MA时隙,簇中各成员节点按各自所拥有TDMA时隙,向簇首发送数据信息,并由簇首执行有效数据融合操作后,把数据信息以簇间路由方式发送给基站.实验结果表明,该方法能够实现无线传感器网络路由,均衡无线传感器网络能量消耗,并延长其生命周期,为实际工作提供可靠依据与参考.
Abstract
In order to reduce energy consumption in wireless sensor networks and extend their lifecycle,a routing method based on particle swarm optimization algorithm is designed for wireless sensor networks.Build a wireless sensor network model,preliminarily divide the wireless sensor network clusters,and obtain the optimal cluster head of the sensor network through the adaptive compression factor particle swarm algorithm.The cluster head allocates TD-MA time slots to member nodes,and each member node in the cluster sends data information to the cluster head ac-cording to their own TDMA time slots.After the cluster head performs effective data fusion operations,the data infor-mation is sent to the base station through inter cluster routing.The experimental results show that this method can achieve wireless sensor network routing,balance energy consumption of wireless sensor networks,and extend their life-cycle,providing reliable basis and reference for practical work.
关键词
粒子群优化算法/无线传感网络/分簇路由/能耗模型/生命周期/适应度Key words
particle swarm optimization algorithm/wireless sensor network/cluster routing/energy consumption model/life cycle/fitness引用本文复制引用
出版年
2024
NETL
NSTL
万方数据