Wireless Internet. 7th International ICST Conference, WICON 2013, Shanghai, China, April 11-12, 2013, Revised Selected Papers

Research Article

Impacts of Network Parameters on Data Collection in Duty-cycled Wireless Sensor Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-41773-3_18,
        author={Hui Guo and Guangjie Han and Chenyu Zhang and Jia Chao and Lei Shu},
        title={Impacts of Network Parameters on Data Collection in Duty-cycled Wireless Sensor Networks},
        proceedings={Wireless Internet. 7th International ICST Conference, WICON 2013, Shanghai, China, April 11-12, 2013, Revised Selected Papers},
        proceedings_a={WICON},
        year={2013},
        month={10},
        keywords={WSNs network parameters duty-cycled},
        doi={10.1007/978-3-642-41773-3_18}
    }
    
  • Hui Guo
    Guangjie Han
    Chenyu Zhang
    Jia Chao
    Lei Shu
    Year: 2013
    Impacts of Network Parameters on Data Collection in Duty-cycled Wireless Sensor Networks
    WICON
    Springer
    DOI: 10.1007/978-3-642-41773-3_18
Hui Guo1,*, Guangjie Han,*, Chenyu Zhang1,*, Jia Chao1,*, Lei Shu2,*
  • 1: Hohai University
  • 2: Guangdong University of Petrochemical Technology
*Contact email: guohuiqz@gmail.com, hanguangjie@gmail.com, zhangchenyu@gmail.com, chaojia.chj@gmail.com, lei.shu@live.ie

Abstract

In wireless sensor works (WSNs), data collection is the most important evaluating criterion as well as network lifetime. This paper proposes a novel approach to investigate the most easily adjustable factors, these factors have an influence on network data collection both in coordinated and randomized duty-cycled sleep schedule networks. By analyzing and calculating the energy consumption, expected network lifetime and three major parameters are recognized as the indexes for evaluating the data collection. In addition, since most current WSNs adopt coordinated duty-cycled sleep schedule to reduce energy consumption and prolong network lifetime, we put forward a method to find the most optimal network parameters to guarantee the superiority of this kind of sleep schedule. We choose Connected -Neighborhood (CKN) as the model of the coordinated sleep schedule. Simulation results show the most optimal network parameters can be found under expected network lifetime.