• DocumentCode
    2486636
  • Title

    Energy efficient and seamless data collection with mobile sinks in massive sensor networks

  • Author

    Park, Taisoo ; Kim, Daeyoung ; Jang, Seonghun ; Yoo, Seong-Eun ; Lee, Yohhan

  • Author_Institution
    Sch. of Eng., Real Time Embedded Syst. Lab., Inf. & Commun. Univ., Daejeon, South Korea
  • fYear
    2009
  • fDate
    23-29 May 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Wireless Sensor Networks (WSNs) enable the surveillance and reconnaissance of a particular area with low cost and less manpower. However, the biggest problem against the commercialization of the WSN is the limited lifetime of the battery-operated sensor node. Taking this problem into account, a mobile sink is deployed as a robot, vehicle or portable device to only activate the sensor nodes that are interesting to the sink and leaves other nodes deactivated for. This can considerably extend the lifetime of the sensor nodes compared to existing power management algorithm of using all nodes. However, in this environment, the mobility of the sink raises new issues of energy efficiency and connectivity in communications. To solve these issues, we propose a DRMOS (Dynamic Routing protocol for Mobile Sink) method that includes a designated wake-up-zone to make sensor nodes prepare for an incoming sink. The shape of the wake-up-zone is dynamically changing to reflect the past moving patterns of the sinks. Moreover, we present the extensive simulation results and recommend parameters for practical use of DRMOS from the simulation analysis.
  • Keywords
    routing protocols; wireless sensor networks; dynamic routing protocol; energy efficient; massive sensor networks; mobile sinks; seamless data collection; wireless sensor networks; Analytical models; Commercialization; Costs; Energy efficiency; Mobile robots; Reconnaissance; Robot sensing systems; Surveillance; Vehicles; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel & Distributed Processing, 2009. IPDPS 2009. IEEE International Symposium on
  • Conference_Location
    Rome
  • ISSN
    1530-2075
  • Print_ISBN
    978-1-4244-3751-1
  • Electronic_ISBN
    1530-2075
  • Type

    conf

  • DOI
    10.1109/IPDPS.2009.5161183
  • Filename
    5161183