An Energy Prediction Clustering Hierarchy for Wireless Sensor Networks

摘要：

For the sake of using the energy more effectively in wireless sensor networks, an arithmetic based on energy prediction clustering hierarchy (EPCH) was proposed. In EPCH, the cluster-head node could predict the energy information of each node accurately by the energy packets sent from other nodes. Depending on the energy prediction, the selection of next new cluster-head node was determined. The experiment simulated the behavior of sensor nodes in terms of energy consumption using the arithmetic we have proposed. We analyzed the performance of EPCH, and compared it with other cluster-based arithmetic where there is no energy prediction used. Simulation results show that EPCH outperform them in balancing the energy consumption and prolonging the lifetime of wireless sensor networks.

作者: Kai LIN Hai ZHAO Zhenyu YIN Dingding LUO

作者单位: Northeastern University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）