• DocumentCode
    3524198
  • Title

    A fuzzy metric for Collection Tree Protocol in Wireless Sensor Networks

  • Author

    Shafuda, Frans S. ; Nyirenda, Clement N.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Univ. of Namibia, Ongwediva, Namibia
  • fYear
    2015
  • fDate
    17-20 May 2015
  • Firstpage
    50
  • Lastpage
    55
  • Abstract
    A fuzzy metric for the Collection Tree Protocol (CTP) algorithm in Wireless Sensor Networks (WSNs) is proposed. This metric incorporates node energy level and congestion along with the traditional link quality parameter used in CTP with an aim of making CTP energy and congestion aware. The performance of the fuzzy metric based CTP is evaluated and compared with the original CTP algorithm, in a TinyOS Simulator (TOSSIM), under different network conditions with short and long duration experiments. The two algorithms exhibit more or less the same Packet Delivery Ratio (PDR) for short duration experiments. In long duration experiments, the fuzzy metric based CTP maintains a PDR higher than 0.99 for all simulation times while the PDR of the traditional CTP goes down to 0.67 when the simulation time is 2000 seconds. In the new algorithm, all nodes die almost at the same time, maintaining high reachability and high PDR throughout the lifetime of the nodes. The opposite happens with the original algorithm thereby creating reachability problems and contributing to the low PDR. These results show that effective network lifetime can be improved by using the proposed fuzzy metric based CTP without jeopardizing the basic functionality of CTP. There is, however, a need to test the new approach under more network conditions. More aggregation techniques can also be used for comparison purposes.
  • Keywords
    fuzzy set theory; protocols; telecommunication power management; telecommunication traffic; wireless sensor networks; CTP algorithm; CTP energy; PDR; TOSSIM; TinyOS Simulator; WSN; collection tree protocol; fuzzy metric; link quality parameter; network lifetime; node energy level; packet delivery ratio; wireless sensor networks; Algorithm design and analysis; Computational modeling; Measurement; Network topology; Routing; Topology; Wireless sensor networks; Collection Tree Protocol; Fuzzy Logic; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Networks and Computer Communications (ETNCC), 2015 International Conference on
  • Conference_Location
    Windhoek
  • Print_ISBN
    978-1-4799-7706-2
  • Type

    conf

  • DOI
    10.1109/ETNCC.2015.7184807
  • Filename
    7184807