Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers

Research Article

A Cellular-Assisted Mobile UE Cluster Head Selection Algorithm for Wireless Sensor Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-30493-4_41,
        author={Lianhai Shan and Yuling Ouyang and Zhi Yuan and Honglin Hu and Zhenhong Li},
        title={A Cellular-Assisted Mobile UE Cluster Head Selection Algorithm for Wireless Sensor Networks},
        proceedings={Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers},
        proceedings_a={WICON},
        year={2012},
        month={10},
        keywords={WSN cluster head gateway_CH level energy cost},
        doi={10.1007/978-3-642-30493-4_41}
    }
    
  • Lianhai Shan
    Yuling Ouyang
    Zhi Yuan
    Honglin Hu
    Zhenhong Li
    Year: 2012
    A Cellular-Assisted Mobile UE Cluster Head Selection Algorithm for Wireless Sensor Networks
    WICON
    Springer
    DOI: 10.1007/978-3-642-30493-4_41
Lianhai Shan1,*, Yuling Ouyang1,*, Zhi Yuan1,*, Honglin Hu1,*, Zhenhong Li2,*
  • 1: Chinese Academy of Sciences
  • 2: Renesas Mobile Corporation
*Contact email: lianhai.shan@shrcwc.org, yuling.ouyang@shrcwc.org, zhi.yuan@shrcwc.org, honglin.hu@shrcwc.org, zhenhong.li@renesasmobile.com

Abstract

Wireless sensor networks (WSN) have been applied in different areas, which consist of numerous autonomous sensor nodes with limited energy. Therefore, energy efficient algorithms and protocols have been one of the most challenging issues for WSNs. Many researchers have focused on developing energy efficient clustering algorithms for WSNs, but less research has concerned about the mobile user equipment (UE) acting as a cluster head (CH) for data transmission between cellular networks and WSNs. In this paper, we present a cellular-assisted mobile UE CH selection algorithm and describe particular procedure for the WSN system. Simulation results show that better system performance, in terms of system energy cost and WSNs life time, can be achieved in WSNs by using interactive optimization with cellular networks.