An Energy-Effective Clustering Algorithm for Multilevel Energy Heterogeneous Wireless Sensor Networks

摘要：

Clustering provides an effective way for data gathering in wireless sensor networks. In prachce applicahons, eitber the difference of energy consumed by sensor nodes or node redeployment leads to the energy heterogeneous networks This paper proposes a new distributed Low-Energy node Protection Time-driven Clustering algorithm (LEPTC) for heterogeneous wireless sensor networks, in which nodes are initialized with different energy Levels. This new approach aims at guaranteeing more uniform energy consumption of the nodes and prolonging their lifetime. In LEPTC, cluster head selection is primarily based on the residual energy ratio between a node and its neighboring node with lowest energy. As a result, a node with higher residual energy around the lowenergy node will produce a shorter hme for cluster head competihon and hence have more chance to become a cluster head, So LEPTC can better handle the heterogeneous energy capacities. Moreover, LEPTC adopts a multi-hop data transmission manner for the forced cluster heads. Simulation results show that LEPTC outperforms some existing clustering methods in terms of the network lifetime and the network data capacity in energy heterogeneous networks.

关键词： wireless sensor networks clustering energy heterogeneous network lifetime

作者: Zhong-Gao Sun Zi-Wei Zheng Shao-Hua Chen Shao-Juan Xu

作者单位: College of Information Science and Technology,Dalian Maritime University,Dalian 116026,China College of Information Science and Technology,Dalian Maritime University,Dalian 116026,China Nation City Institute,Dalian University of Technology,Dalian 116600,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 168-172

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）