• DocumentCode
    2450921
  • Title

    An Adaptive Redundancy-Based Mechanism for Fast and Reliable Data Collection in WSNs

  • Author

    Wu, Celimuge ; Ohzahata, Satoshi ; Kato, Toshihiko

  • Author_Institution
    Grad. Sch. of Inf. Syst., Univ. of Electro-Commun., Chofu, Japan
  • fYear
    2012
  • fDate
    16-18 May 2012
  • Firstpage
    347
  • Lastpage
    352
  • Abstract
    Wireless sensor networks (WSNs) can be used for a variety of applications. For many applications, a high reliability and low delay are required. Due to lossy feature of wireless channel, providing a reliable communication is very challenging. The most frequently used approach for providing the reliability is to use the acknowledgement based retransmission mechanism which increases the end-to-end delay especially when the number of hops from a sensor to the sink node is large. In this paper, we propose a redundancy-based approach to provide a high reliability while maintaining a low end-to-end delay. The proposed mechanism uses a redundant transmission when a link is unreliable or the end-to-end delay requirement is strict. We implement the proposed mechanism on a wireless sensor network which consists of IRIS motes, and evaluate the performance of the proposed mechanism.
  • Keywords
    delays; telecommunication network reliability; wireless channels; wireless sensor networks; IRIS mote; WSN; adaptive redundancy-based mechanism; communication reliability; data collection; end-to-end delay requirement; retransmission mechanism; wireless channel lossy feature; wireless sensor network; Base stations; Delay; Redundancy; Routing protocols; Wireless sensor networks; IRIS motes; Wireless sensor networks; data collection; redundancy; reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing in Sensor Systems (DCOSS), 2012 IEEE 8th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-1693-4
  • Type

    conf

  • DOI
    10.1109/DCOSS.2012.36
  • Filename
    6227767