基于动态聚类的大规模WSN能耗优化算法

Large-scale WSN Energy Consumption Optimization Algorithm Based on Dynamic Clustering

针对大规模密集型无线传感器网络中节点能量利用效率不高的问题,提出一种基于动态聚类的大规模WSN能耗优化算法。该算法考虑到节点位置及剩余能量信息,利用节点动态变化的能量数据信息寻找最佳节点作为簇首,形成簇群。当簇首节点能耗低于簇内节点平均能耗时,簇群内其他节点通过动态聚类重新组成簇群。仿真结果表明,与LEACH算法相比,我们提出的算法能有效降低网络能耗并延长网络生命周期。

Since the energy utilization efficiency is not high in the large-scale and dense wireless sensor networks,the energy consumption optimization based on dynamic cluster algorithm for the large-scale wireless sensor networks(LWSN)is proposed.Considering the information of node location and residual energy,the algorithm also utilizes the dynamic energy data information to find the optimal node,which acts as the cluster head node.Then the clusters are formed.When the energy consumption of any cluster head node is lower than the average energy consumption of its in-cluster nodes,all the other nodes form the clusters again through the stream cluster.Compared with the LEACH algorithm,simulation results show that the proposed algorithm can decrease the network energy consumption as well as prolong the network lifetime.