M2M通信中能耗均衡的联合分簇-休眠管理策略

针对M2M通信中存在的能量问题，主要研究一种能耗均衡的联合分簇-休眠管理策略. 为了解决LEACH分簇算法中存在的节点间能耗不均衡等问题，利用经纬线对簇头节点所处区域进行非均匀划分，以保证所有簇头节点的能耗相同. 分析网络中的最优分簇数目，并提出基于失真度的节点休眠调度进一步降低能耗，综合设计了联合分簇-休眠管理策略. 仿真及分析表明，所提出的策略能降低并均衡M2M通信的网络能耗，延长网络寿命.

Energy-Balanced Joint Clustering-Sleep Management Strategy for Machine-to-Machine Communications

To solve the energy problems in M2M communications, we study the strategy of energy-balanced joint sleep-clustering management. To correct imbalance of energy consumption in the LEACH clustering algorithm, we propose a non-uniform partitioning algorithm by using the latitude and longitude lines for the cluster head node region to ensure equal energy consumption of all cluster heads. We find the optimal number of clustering,propose a sleep scheduling strategy based on distortion to further reduce energy consumption, and design a joint clustering-sleep management strategy. Simulation results
show that the proposed strategy can balance energy consumption and extend the network lifetime in M2M communications.