基于能量和均衡分簇的WSN自适应拓扑控制

摘要

无线传感器网络中基于分簇的拓扑控制方法容易将低能量节点误选为簇头而加速死亡，且在成簇过程中未考虑簇成员数量，会导致簇头负载过重。为此，提出一种基于能量和均衡分簇的自适应拓扑控制方法。在选择簇头时考虑节点的剩余能量，采用均衡化思想自适应构建簇成员。仿真实验结果表明，该方法能有效降低节点死亡速率，延长网络寿命，提高网络的服务性能。%Cluster-based topology control method in Wireless Sensor Network(WSN) does not consider the nodes’ residual energy reasonably, which may make the cluster head chosen die soon. And it does not take the number of cluster members into account in the clustering process, which may result in the overloading of the cluster head. Aiming at these problems, in this paper, an adaptive topology control method based on energy and balanced clustering is proposed. The cluster heads’ selection of this method considers the residual energy of nodes, at the same time, the method adopts the idea of equalization to form the cluster members adaptively. Simulation results show that the method can reduce the nodes’ death rate effectively, prolong the network lifetime and improve the service performance.