• DocumentCode
    3168328
  • Title

    Design of an improved energy efficient clustering in M2M communication

  • Author

    Deshpande, Kartik Vishal ; Rajesh, A.

  • Author_Institution
    Sch. of Electron. Eng., VIT Univ., Vellore, India
  • fYear
    2015
  • fDate
    19-20 March 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we analyse machine to machine (M2M) communication in long term evolution for machine type communication(LTE-M) network. It provides interface for M2M devices to send data to M2M gateways or evolved Node B (eNB). Clustering is an efficient way of gathering data and energy conservation. Here, two existing clustering methods, namely, Low energy adaptive clustering hierarchy (LEACH) and energy aware multi-hop multipath hierarchy (EAMMH)are compared with improved M2M clustering process (IMCP) method. Results show that IMCP performs better than the existing techniques in terms of energy consumption, network life time and number of dead nodes. Assumption is made to use smart metering as one of measuring application in M2M communication.
  • Keywords
    Internet of Things; Long Term Evolution; mobile computing; pattern clustering; power aware computing; statistical analysis; telecommunication power management; EAMMH; Internet of Things; IoT; LEACH; LTE-M network; M2M communication; energy aware multihop multipath hierarchy; long term evolution for machine type communication; low energy adaptive clustering hierarchy; machine to machine communication; Algorithm design and analysis; Clustering algorithms; Cost function; Energy efficiency; Mathematical model; Power demand; Wireless sensor networks; Clustering; Energy; GFDM; LTE-M; M2M;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on
  • Conference_Location
    Nagercoil
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2015.7159254
  • Filename
    7159254