作者: Mao Ye , Chenfa Li , Guihai Chen , Jie Wu
DOI: 10.1109/PCCC.2005.1460630
关键词:
摘要: Data gathering is a common but critical operation in many applications of wireless sensor networks. Innovative techniques that improve energy efficiency to prolong the network lifetime are highly required. Clustering an effective topology control approach networks, which can increase scalability and lifetime. In this paper, we propose novel clustering schema EECS for better suits periodical data applications. Our elects cluster heads with more residual through local radio communication while achieving well head distribution; further it introduces method balance load among heads. Simulation results show outperforms LEACH significantly prolonging over 35%.