无线传感器网络簇半径自适应调整策略

Cluster size adaptive adjustable strategy for wireless sensor networks

首先,基于节点的剩余能量对节点簇半径进行周期性调整,将网络划分为大小非均匀的若干簇。其次,设计了簇头选举策略,使得网络中簇头分布更加合理,提升簇头节点能量利用率,均衡节点的能耗。实验结果表明:与UCR算法和CUCRA算法相比,本文提出的算法将网络生命周期分别延长了55.2%和38.2%,同时具有较低的传输延时。

First,the cluster radius is adjusted periodically based on the node residual energy and the network is divided into several unequal clusters.Then,the cluster head election strategy is designed,which ensures the distribution of the cluster head more reasonable,improves the energy utilization of the cluster head,and balances the energy consumption of the nodes.Simulation results show that,compared to the Unequal Clustering Routing Algorithm（UCRA）and Cross Unequal Clustering Routing Algorithm（CUCRA）,the CSAAS extends the network lifetime up to 55.2% and 38.2%,and meanwhile the transmission delay is lower.