• DocumentCode
    2817707
  • Title

    Network coding solution for improving transmission reliability in wireless sensor networks employed in industrial monitoring

  • Author

    Kiss, Zsuzsanna Ilona ; Polgar, Zsolt Alfred ; Stef, Mihai Petru ; Bota, Vasile

  • Author_Institution
    Commun. Dept., Tech. Univ. of Cluj Napoca, Cluj-Napoca, Romania
  • fYear
    2012
  • fDate
    3-4 July 2012
  • Firstpage
    190
  • Lastpage
    195
  • Abstract
    One of the most appropriate techniques to increase the reliability of wireless sensor networks used in industrial environments are the network coding techniques. This paper proposes an effective, yet simple and scalable approach based on a relay-assisted cooperative scheme that uses Reed Solomon codes as network codes for such wireless sensor networks with cluster-tree topologies. The global Block Error Rate performances of this approach are analyzed in three different scenarios, characterized by different Block Error Rate distributions of the component paths. The results obtained show that this solution significantly improves the performances even for great coding rates. The paper also proposes an optimization of the network code functionality, based on a genetic algorithm, and concludes that it is effective in improving the performances for high coding rates.
  • Keywords
    Reed-Solomon codes; cooperative communication; genetic algorithms; network coding; telecommunication network reliability; telecommunication network topology; wireless sensor networks; Reed Solomon codes; block error rate; cluster-tree topologies; genetic algorithm; industrial monitoring; network codes; network coding; relay-assisted cooperative scheme; transmission reliability; wireless sensor networks; Decoding; Encoding; Neodymium; Optimization; Reliability; Topology; Wireless sensor networks; Reed-Solomon codes; cluster-tree topology; genetic algorithm; network coding; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications and Signal Processing (TSP), 2012 35th International Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    978-1-4673-1117-5
  • Type

    conf

  • DOI
    10.1109/TSP.2012.6256280
  • Filename
    6256280