• DocumentCode
    2670038
  • Title

    A Group-Based Mobile Agent Routing Protocol for Multitype Wireless Sensor Networks

  • Author

    Wu, Guowei ; Li, Heqian ; Yao, Lin

  • Author_Institution
    Sch. of Software, Dalian Univ. of Technol., Dalian, China
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    42
  • Lastpage
    49
  • Abstract
    In the wireless sensor network with multitype sensors and different sample rates, collecting data in an energy-efficient way is a key issue. In this paper, a group based mobile agent routing (GMAR) protocol is presented. In GMAR, a source node grouping algorithm is designed, dividing sensors that can be sampled at same time in one group. To collect data efficiently, the node visiting sequence is statically determined and a mobile agent is designed for each group. A mobile agent is selected dynamically and sent out to aggregate data in the network. Once the next sensor can not be reached, the visiting sequence is adjusted so that current sensor can forward the mobile agent to the sensor next to failure one en route. Simulation results show that GMAR not only reduces number of mobile agents used in gathering data, but also lowers total energy consumption for agent transmission in WSN.
  • Keywords
    energy conservation; mobile agents; multi-agent systems; routing protocols; wireless sensor networks; GMAR protocol; agent transmission; current sensor; energy consumption; energy efficient way; group based mobile agent routing protocol; multitype wireless sensor network; node visiting sequence; sample rate; source node grouping algorithm; Complexity theory; Energy consumption; Mobile agents; Nickel; Planning; Sensors; Wireless sensor networks; mobile agent; routing protocol; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-9779-9
  • Electronic_ISBN
    978-0-7695-4331-4
  • Type

    conf

  • DOI
    10.1109/GreenCom-CPSCom.2010.93
  • Filename
    5724809