• DocumentCode
    2584338
  • Title

    A distributed algorithm for hexagonal topology formation in wireless sensor networks

  • Author

    Prabh, K. Shashi ; Deshmukh, Chinmay ; Sachan, Shikhar

  • Author_Institution
    Centro de Investigac ao em Sist. de Tempo-Real, Inst. Super. de Eng. do Porto, Porto, Portugal
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Hexagonal wireless sensor network refers to a network topology where a subset of nodes have six peer neighbors. These nodes form a backbone for multi-hop communications. In a previous work, we proposed the use of hexagonal topology in wireless sensor networks and discussed its properties in relation to real-time (bounded latency) multi-hop communications in large-scale deployments. In that work, we did not consider the problem of hexagonal topology formation in practice - which is the subject of this research. In this paper, we present a decentralized algorithm that forms the hexagonal topology backbone in an arbitrary but sufficiently dense network deployment. We implemented a prototype of our algorithm in NesC for TinyOS based platforms. We present data from field tests of our implementation, collected using a deployment of fifty wireless sensor nodes.
  • Keywords
    distributed algorithms; operating systems (computers); telecommunication network topology; wireless sensor networks; NesC; TinyOS; decentralized algorithm; dense network; distributed algorithm; hexagonal topology formation; multihop communications; wireless sensor networks; Delay; Distributed algorithms; Large-scale systems; Network topology; Peer to peer computing; Prototypes; Spine; Spread spectrum communication; Testing; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on
  • Conference_Location
    Mallorca
  • ISSN
    1946-0759
  • Print_ISBN
    978-1-4244-2727-7
  • Electronic_ISBN
    1946-0759
  • Type

    conf

  • DOI
    10.1109/ETFA.2009.5347085
  • Filename
    5347085