2nd International ICST Conference on Communications and Networking in China

Research Article

Cooperative MISO-Based Energy Efficient Routing Strategies for Wireless Sensor Networks

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469510,
        author={Baiwei Yang and Jinhuai Guo and Hongyi Yu and Dalong Zhang},
        title={Cooperative MISO-Based Energy Efficient Routing Strategies for Wireless Sensor Networks},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={Sensor Network Cooperative MISO Routing Energy efficiency},
        doi={10.1109/CHINACOM.2007.4469510}
    }
    
  • Baiwei Yang
    Jinhuai Guo
    Hongyi Yu
    Dalong Zhang
    Year: 2008
    Cooperative MISO-Based Energy Efficient Routing Strategies for Wireless Sensor Networks
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469510
Baiwei Yang1,*, Jinhuai Guo1, Hongyi Yu1, Dalong Zhang1
  • 1: Dept. of Commun. Engineering, Zhengzhou Information Science and Technology Institute P.O.BOX 1001,NO.828, Zhengzhou, Henan, 450002, P.R.China
*Contact email: youngbw@163.com

Abstract

Combined multi-hop routing with cooperative communication technologies, a simple cooperative multiple-input-single-output (MISO) minimum energy relay scheme is proposed by the cross-layer design to jointly improve the energy efficiency, and end-to-end (E2E) QoS provisioning for wireless sensor networks (WSNs). Under the ideal case, the energy efficiency of the protocol and Joint Optimization are analyzed in this paper. We focus on a multi-hop network with multiple virtual links at each hop and two routing strategies are designed to achieve the full diversity gain provided by the cooperative MISO. In particular, an optimal routing strategy is proposed to minimize the end-to-end energy consumption, which requires the information of all the links and serves as a performance bound. A localized optimization routing strategy is then proposed based on a hop-by-hop relay selection, which can be easily implemented in a distributed way.