• DocumentCode
    1770284
  • Title

    Greedy backpressure routing for Smart Grid sensor networks

  • Author

    Bin Hu ; Gharavi, Hamid

  • Author_Institution
    Adv. Network Technol., Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
  • fYear
    2014
  • fDate
    10-13 Jan. 2014
  • Firstpage
    32
  • Lastpage
    37
  • Abstract
    In this paper, a greedy backpressure routing protocol is proposed for multigate mesh networks. This protocol evaluates the greedy backpressure metric (GBM) value of mesh points and routes packets in the direction of the steepest gradient. The GBM value is calculated using a combination of traffic load and the mesh point´s hop count to the closest gateway. The proposed routing algorithm can realize the effect of traffic load from all the nodes along the path to each gateway by iteratively updating information from neighbors through periodic beacon exchange. The consideration of incorporating traffic load helps to route packets around congested area. The results indicate that the greedy backpressure multigate mesh routing is capable of achieving significant improvement in the network reliability, latency, and throughput performance.
  • Keywords
    routing protocols; telecommunication network reliability; wireless mesh networks; wireless sensor networks; GBM value; closest gateway; congested area; greedy backpressure metric value; greedy backpressure routing protocol; mesh point hop count; mesh points; multigate mesh networks; network reliability; periodic beacon exchange; route packets; smart grid sensor networks; steepest gradient; traffic load; Decision support systems; Government; Green computing; Handheld computers; IEEE 802.11s; Smart Grid; WLAN; greedy backpressure; routing protocols; wireless mesh networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2014 IEEE 11th
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-2356-4
  • Type

    conf

  • DOI
    10.1109/CCNC.2014.6866544
  • Filename
    6866544