• DocumentCode
    13667
  • Title

    MAC Achieving Low Latency and Energy Efficiency in Hierarchical M2M Networks With Clustered Nodes

  • Author

    Ieryung Park ; Dohyun Kim ; Dongsoo Har

  • Author_Institution
    Cho Chun Shik Grad. Sch. for Green Transp., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • Volume
    15
  • Issue
    3
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    1657
  • Lastpage
    1661
  • Abstract
    Machine-to-Machine (M2M) networks enabling networked nodes (sensors or actuators) to exchange information have been intensively studied lately. Key components of M2M networks include sensors that can be deployed with a large quantity for monitoring or surveillance. This paper deals with M2M networks hierarchically structured to accommodate efficient data transmission from terminal nodes to a sink node via cluster heads. A novel medium access control (MAC) protocol, more specifically backoff time decision rule, fit for hierarchical M2M networks is proposed and evaluated by simulations. Analytical success probability in channel access by cluster heads is derived and compared with simulation results. It is shown by simulation results that the proposed backoff time decision rule achieves smaller average latency and reduced per-node energy consumption in comparison with well-known MAC protocols, the DMAC and the SMAC, for sensor networks.
  • Keywords
    access protocols; data communication; wireless sensor networks; backoff time decision rule; clustered nodes; data transmission; energy efficiency; hierarchical M2M networks; latency; machine-to-machine networks; medium access control protocol; sensor networks; Data communication; Energy consumption; Magnetic heads; Media Access Protocol; Sensors; Simulation; Wireless sensor networks; M2M network; MAC; backoff time decision; cluster head; hierarchical structure;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2014.2364055
  • Filename
    6937059