• DocumentCode
    2044171
  • Title

    Low complexity distributed reliability for Wireless Sensor Networks

  • Author

    Qaisar, Saad B. ; Radha, Hayder

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI
  • fYear
    2008
  • fDate
    19-21 March 2008
  • Firstpage
    647
  • Lastpage
    652
  • Abstract
    We consider the distributed wireless sensor network (WSN) reliability problem with the introduction of minimal complexity at sensor nodes. Under the proposed scheme, intermediate sensor nodes, acting as relays to the base station, partially decode the information packets as they traverse the multi-hop wireless network. Nodes collaborate, in a distributed pair-wise manner to allocate the processing budget to individual nodes and obtain near optimal performance. We make recommendations for fast convergence with minimal burden on intermediate nodes. We show that the proposed scheme achieves much better performance than end-to-end channel coding. We use iteratively decodable low density parity check (LDPC) codes to demonstrate the efficiency of our technique.
  • Keywords
    channel coding; communication complexity; decoding; parity check codes; resource allocation; telecommunication network reliability; wireless sensor networks; convergence; distributed pair-wise node collaboration; distributed wireless sensor network; end-to-end channel coding; information packet decoding; iteratively decodable low density parity check codes; low complexity distributed reliability; minimal complexity; multihop wireless network; processing budget allocation; sensor nodes; Channel coding; Collaboration; Convergence; Costs; Forward error correction; Iterative decoding; Parity check codes; Relays; Spread spectrum communication; Wireless sensor networks; Coding and Communication; Distributed OPERA; Error Recovery; LDPC; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-2246-3
  • Electronic_ISBN
    978-1-4244-2247-0
  • Type

    conf

  • DOI
    10.1109/CISS.2008.4558603
  • Filename
    4558603