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TDMA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。
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 TDMA time slots to member nodes,and each member node in the cluster sends data information to the cluster head according to their own TDMA time slots.After the cluster head performs effective data fusion operations,the data information 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 lifecycle,providing reliable basis and reference for practical work.
作者
陈锐
马潇
杜永红
李家金
CHEN Rui;MA Xiao;DU Yonghong;LI Jiajin(China National Petroleum Corporation(Tarim),Xinjiang 841000,China)
出处
《自动化与仪表》
2024年第8期137-140,158,共5页
Automation & Instrumentation
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
particle swarm optimization algorithm
wireless sensor network
cluster routing
energy consumption model
life cycle
fitness