• DocumentCode
    1725335
  • Title

    Energy-efficient data collection in multiple mobile gateways WSN-MCN convergence system

  • Author

    Fei Yin ; Zhenhong Li ; Haifeng Wang

  • Author_Institution
    Shanghai Branch, Renesas Mobile Corp., Shanghai, China
  • fYear
    2013
  • Firstpage
    271
  • Lastpage
    276
  • Abstract
    Data gathering is a fundamental task of wireless sensor network (WSN). Recently, mobile sink has been exploited for data gathering in WSN to reduce and balance energy expenditure among sensors. How to energy-efficiently collect and transmit the data in case of multiple mobile sinks is a hot research topic. In this paper, we propose a multiple mobile sinks energy-efficient data collection (MSE2DC) scheme for query-driven data delivery in tree-topology WSN and mobile cellular network (MCN) convergence system. In the system, user equipments (UEs) are equipped with WSN air-interface and act as mobile gateways to supervisory control the WSN data gathering and provide backhaul data links for the WSN. The WSN sensors are purposely activated for data delivery. By implementing the MSE2DC, only necessary sensors should be activated for data delivery while the other sensors could keep sleeping to save energy consumption. Simulation results demonstrate that the significant energy saving of MSE2DC.
  • Keywords
    cellular radio; internetworking; mobile radio; wireless sensor networks; UE; WSN air-interface; balance energy expenditure reduction; energy consumption; energy-efficient data collection; mobile cellular network; multiple mobile gateway WSN-MCN convergence system; multiple mobile sink energy-efficient data collection scheme; supervisory control; user equipments; wireless sensor network; Data collection; Data communication; Data models; Mobile communication; Mobile computing; Topology; Wireless sensor networks; MCN; WSN; convergence; data delivery; energy saving; mobile UEs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2013 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4673-3131-9
  • Type

    conf

  • DOI
    10.1109/CCNC.2013.6488457
  • Filename
    6488457