• DocumentCode
    2044817
  • Title

    DESYNC: Self-Organizing Desynchronization and TDMA on Wireless Sensor Networks

  • Author

    Degesys, Julius ; Rose, Ian ; Patel, Ankit ; Nagpal, Radhika

  • Author_Institution
    Harvard Univ., Cambridge
  • fYear
    2007
  • fDate
    25-27 April 2007
  • Firstpage
    11
  • Lastpage
    20
  • Abstract
    Desynchronization is a novel primitive for sensor networks: it implies that nodes perfectly interleave periodic events to occur in a round-robin schedule. This primitive can be used to evenly distribute sampling burden in a group of nodes, schedule sleep cycles, or organize a collision-free TDMA schedule for transmitting wireless messages. Here we present Desync, a biologically-inspired self-maintaining algorithm for desynchronization in a single-hop network. We present (1) theoretical results showing convergence, (2) experimental results on TinyOS-based Telos sensor motes, and (3) a DESYNC-based TDMA protocol. Desync-TDMA addresses two weaknesses of traditional TDMA: it does not require a global clock and it automatically adjusts to the number of participating nodes, so that bandwidth is always fully utilized. Experimental results show a reduction in message loss under high contention from approximately 58% to less than 1%, as well as a 25% increase in throughput over the default Telos MAC protocol.
  • Keywords
    time division multiple access; wireless sensor networks; DESYNC; TDMA; Telos MAC protocol; biologically inspired self maintaining algorithm; message loss; self organizing desynchronization; single hop network; wireless sensor networks; Biosensors; Clocks; Convergence; Protocols; Round robin; Sampling methods; Scheduling; Sleep; Time division multiple access; Wireless sensor networks; Algorithms; Design; Desynchronization; Performance; medium access control; pulse-coupled oscillators; resource scheduling; self-organizing; sensor networks; time division multiple access;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2007. IPSN 2007. 6th International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-1-59593-638-7
  • Type

    conf

  • DOI
    10.1109/IPSN.2007.4379660
  • Filename
    4379660