• DocumentCode
    83435
  • Title

    Adaptive preamble-sampling techniques for receiver-based medium access control protocols in lossy wireless sensor networks

  • Author

    Akhavan, Mohammad Reza ; Choobkar, Sabrieh ; Aijaz, Adnan ; Aghvami, Abdol-Hamid

  • Author_Institution
    Centre for Telecommun. Res., King´s Coll. London, London, UK
  • Volume
    5
  • Issue
    1
  • fYear
    2015
  • fDate
    2 2015
  • Firstpage
    31
  • Lastpage
    41
  • Abstract
    In preamble-sampling medium access control (PS-MAC) protocols, nodes spend most of their time in sleep mode, and wake up for a short duration every checking interval (CI) to check the channel for an ongoing transmission. To avoid deafness, each data packet is preceded by a preamble with the same length as CI, to make sure that all potential receivers detect the preamble. In this work, the authors extend the idea of receiver-based medium access control (MAC) protocol in which all potential neighbour nodes obtain the data frame. They propose and evaluate adaptive preamble MAC and adaptive sampling MAC in PS-MAC with multiple receiver nodes. The analytical and numerical results demonstrate how proposed adaptive PS-MAC outperforms the state-of-the-art sender-based and receiver-based PS-MAC protocols in terms of energy, while maintaining the comparable reliability in data delivery. In addition, overall lifetime of the involved sensor nodes has increased significantly.
  • Keywords
    access protocols; signal detection; signal sampling; wireless sensor networks; adaptive preamble-sampling techniques; adaptive sampling MAC; checking interval; data packet; deafness avoidance; lossy wireless sensor networks; multiple receiver nodes; preamble detection; receiver-based PS-MAC protocols; receiver-based medium access control protocols; sender-based PS-MAC protocols; sleep mode;
  • fLanguage
    English
  • Journal_Title
    Wireless Sensor Systems, IET
  • Publisher
    iet
  • ISSN
    2043-6386
  • Type

    jour

  • DOI
    10.1049/iet-wss.2013.0117
  • Filename
    7051340