受限节点的WSNs非均匀分簇算法应用研究

针对常规分簇路由算法不能有效解决节点位置、能量、频段受限的固态发酵温度检测无线传感器网络(WSNs)中节点过早死亡和能耗不均衡的问题,提出了一种基于粒子群优化(PSO)算法的非均匀分簇路由协议。首先,根据网络规模选择固定数目的簇首节点,然后,引入PSO算法和非均匀分簇机制,以簇首节点覆盖范围和簇内节点与簇首之间平均欧氏距离作为评价函数的影响因子,选取一组最优簇首。仿真实验结果表明:所提算法有效改善了受限节点无线测温网络"热区"效应,均衡了节点能耗,显著延长了网络生存周期。

Application research on uneven clustering algorithm for WSNs of limited nodes

Aiming at problems of nodes are early dead and energy consumption of the entire network is not balanced in the limited node position,energy,frequency of WSNs for solid-state fermentation temperature measurement,can＇ t be solved effectively by conventional clustering routing algorithm,propose an uneven cluster routing protocol based on particle swarm optimization （PSO） algorithm.Firstly,according to network size,select fixed number of cluster head nodes,then the PSO and uneven cluster scheme are introduced to select the optimal cluster heads by evaluating factors which are the average Euclidean distance between nodes and their associated cluster heads and the size of cluster head coverage.Simulation experimental results demonstrate that the algorithm can efficiently improve the＂ hot zone＂ effect of network,balance energy consumption of nodes,and prolong network lifecycle.