Testbeds and Research Infrastructure: Development of Networks and Communities. 9th International ICST Conference, TridentCom 2014, Guangzhou, China, May 5-7, 2014, Revised Selected Papers

Research Article

Sleep Scheduling Method Based on Half-Sleep State in the Distributed Sensor Network

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  • @INPROCEEDINGS{10.1007/978-3-319-13326-3_49,
        author={Pan Deng and Jianwei Zhang and Feng Chen and Jiafu Wan and Biying Yan and Long Zhao},
        title={Sleep Scheduling Method Based on Half-Sleep State in the Distributed Sensor Network},
        proceedings={Testbeds and Research Infrastructure: Development of Networks and Communities. 9th International ICST Conference, TridentCom 2014, Guangzhou, China, May 5-7, 2014, Revised Selected Papers},
        proceedings_a={TRIDENTCOM},
        year={2014},
        month={11},
        keywords={Sensor Network Sleep Scheduling Half-sleep},
        doi={10.1007/978-3-319-13326-3_49}
    }
    
  • Pan Deng
    Jianwei Zhang
    Feng Chen
    Jiafu Wan
    Biying Yan
    Long Zhao
    Year: 2014
    Sleep Scheduling Method Based on Half-Sleep State in the Distributed Sensor Network
    TRIDENTCOM
    Springer
    DOI: 10.1007/978-3-319-13326-3_49
Pan Deng1,*, Jianwei Zhang2,*, Feng Chen1,*, Jiafu Wan3,*, Biying Yan1,*, Long Zhao2,*
  • 1: Institute of Software Chinese Academy of Sciences
  • 2: Beihang University
  • 3: Jiangxi University of Science and Technology
*Contact email: dengpan@iscas.ac.cn, hitzjw@163.com, chenfeng@iscas.ac.cn, jiafuwan_76@163.com, biying@iscas.ac.cn, zhaolong@nslde.buaa.edu.cn

Abstract

In order to extend the sensor’s lifetime, this paper researched deeply into the sleep scheduling mechanism in the distributed sensor network. Now, the commonly used sleep scheduling methods based on the coverage have the problem of response delay, so we proposed a sleep scheduling method based on the half-sleep state to overcome this shortcoming. Under the control of regional agent node, this method adopts a minimum coverage algorithm based on the approximate solution to select the minimum coverage node set. Experimental results show that the proposed scheduling method can both reduce power consumption of the whole network effectively and extend the lifetime of the sensor noticeably.