2nd International ICST Conference on Communications and Networking in China

Research Article

The Expected Energy Consumption of Wireless Distributed Sensor Networks Based on Node Random Failures

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469526,
        author={Wei An and Fang-Ming Shao and Huajun Meng},
        title={The Expected Energy Consumption of Wireless Distributed Sensor Networks Based on Node Random Failures},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={expected energy consumption  minimum energy reliable path  wireless distributed sensor network},
        doi={10.1109/CHINACOM.2007.4469526}
    }
    
  • Wei An
    Fang-Ming Shao
    Huajun Meng
    Year: 2008
    The Expected Energy Consumption of Wireless Distributed Sensor Networks Based on Node Random Failures
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469526
Wei An1,*, Fang-Ming Shao1,*, Huajun Meng1,*
  • 1: College of Science, East China University of Science and Technology, Shanghai, China
*Contact email: anwei2001@mail.ecust.edu.cn, fmshao@ecust.edu.cn, m9902@mail.ecust.edu.cn

Abstract

In Wireless distributed sensor network, the efficiency of energy consumption is very important in developing the techniques to extend its lifetime. Due to the random failures of sensor nodes, this paper proposes a concept of the expected energy consumption to control the success rate of message transmission, decrease the energy consumption, and measure the network performance. Furthermore, based on the minimum energy reliable path and its two algorithms, restricted shortest path algorithm and “restricted” Dijksta algorithm, an algorithm is developed to compute the expected energy consumption of a sensor network. The simulation shows the effectiveness and efficiency of the proposed algorithm. Finally, the influence of reliability threshold on the expected energy consumption of a network is simulated and analyzed.