• DocumentCode
    628970
  • Title

    Energy-efficient multi-hop transmission for machine-to-machine communications

  • Author

    Dombrowski, Christian ; Petreska, Neda ; Gortzen, Simon ; Schmeink, Anke ; Gross, James

  • Author_Institution
    UMIC Res. Centre, RWTH Aachen Univ., Aachen, Germany
  • fYear
    2013
  • fDate
    13-17 May 2013
  • Firstpage
    341
  • Lastpage
    348
  • Abstract
    Emerging machine-to-machine communication scenarios are envisioned to deal with more stringent quality-of-service demands. This relates mainly to outage and latency requirements, which are for example for safety-critical messages quite different than for traditional applications. On the other hand, it is widely accepted that machine-to-machine communication systems need to be energy-efficient because of the widespread use of battery-powered devices, but also due to their huge deployment numbers. In this paper, we address these issues with respect to multi-hop transmissions. Specifically, we deal with minimizing the consumed energy of transmitting a packet with end-to-end outage and latency requirements. We account for the cases in which the system can utilize solely average channel state information, or in addition obtain and profit from instantaneous channel state information. The developed solution is based on convex optimization. It is shown numerically that despite accounting for the energy consumption of acquiring instantaneous channel state information, especially as the outage and latency requirements become tough, it is by up to 100 times more energy efficient to convey a packet with instantaneous than with average channel state information.
  • Keywords
    computer networks; convex programming; quality of service; telecommunication channels; battery-powered devices; channel state information; convex optimization; deployment numbers; energy-efficient multihop transmission; machine-to-machine communications; safety-critical messages; stringent quality-of-service demands; Channel state information; Energy consumption; Minimization; Payloads; Quality of service; Resource management; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling & Optimization in Mobile, Ad Hoc & Wireless Networks (WiOpt), 2013 11th International Symposium on
  • Conference_Location
    Tsukuba Science City
  • Print_ISBN
    978-1-61284-824-2
  • Type

    conf

  • Filename
    6576453