基于最佳簇数和局部能量最优的WSN分簇算法

无线传感器网络的分簇以及能量消耗模型是决定整个网络的生存周期等指标的关键因素。通过网络节点分布的最佳分簇算法和基于各分簇内节点剩余能量的局部能量消耗最优模型,提出MLECC算法,来获得合理的分簇数和选择簇头,从而延长网络生存周期、降低网络能量消耗速度。实验证明,在分簇以及能量消耗两个关键方面得到优化以后,无线传感器网络的存活和稳定性得到进一步提高。

WSN Clustering Algorithm Based on Optimal Cluster Number and Local Energy Optimal

Clustering of the wireless sensor network and the energy consumption model are the key factors to survival periods of the whole network.Based on the optimal clustering algorithm and local energy consumption optimal model concerning the rest energy in each cluster nodes,puts forward the algorithm of MLECC,to gain reasonable clustering number and choice cluster head,so as to prolong the survival periods and reduce the energy consumption rate of network.Experiment proves that the survival and stability of the wireless sensor network are further improved as well as two key issues,the energy consumption and clustering are optimized.