• DocumentCode
    257624
  • Title

    Energy efficient MAC for cellular-based M2M communications

  • Author

    Azari, Amin ; Miao, Guowang

  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    128
  • Lastpage
    132
  • Abstract
    In Machine-to-Machine (M2M) networks, an energy efficient scalable medium access control (MAC) is crucial for serving massive battery-driven machine-type devices. In this paper, we investigate the energy efficient MAC design to minimize battery power consumption in cellular-based M2M communications. We present an energy efficient MAC protocol that not only adapts contention and reservation-based protocols for M2M communications in cellular networks, but also benefits from partial clustering to handle the massive access problem. Then we investigate the energy efficiency and access capacity of contention-based protocols and present an energy efficient contention-based protocol for intra-cluster communication of the proposed MAC, which results in huge power saving. The simulation results show that the proposed MAC protocol outperforms the others in energy saving without sacrificing much delay or throughput. Also, the lifetimes of both individual nodes and the whole M2M network are significantly extended.
  • Keywords
    Internet of Things; access protocols; cellular radio; pattern clustering; telecommunication power supplies; Internet-of-things; access capacity; battery power consumption minimization; cellular networks; cellular-based M2M communications; contention-based protocols; energy efficient MAC protocol; energy efficient scalable medium access control; energy saving; intracluster communication; machine-to-machine networks; massive access problem; massive battery-driven machine-type devices; partial clustering; power saving; reservation-based protocols; Base stations; Batteries; Delays; Magnetic heads; Media Access Protocol; Multiaccess communication; Cellular Networks; Energy efficiency; Internet of Things; MAC; Machine-to-Machine communications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2014.7032092
  • Filename
    7032092