Journal of Applied Sciences ›› 2015, Vol. 33 ›› Issue (4): 341-350.doi: 10.3969/j.issn.0255-8297.2015.04.001

• Communication Engineering • Previous Articles     Next Articles

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

CAO Tian-wei, XIE Wei, XU You-yun, XIANG Wei   

  1. College of Communications Engineering, PLA University of Science and Technology,
    Nanjing 210007, China  
  • Received:2015-04-03 Revised:2015-05-04 Online:2015-07-30 Published:2015-05-04

Abstract:  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.

Key words:  machine-to-machine communication, energy-balanced, distortion, sleep scheduling, clustering management

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