• DocumentCode
    3532163
  • Title

    Weighted Signed Graph (WSG) power-aware routing in distributed wireless networks

  • Author

    Rath, Hemant Kumar ; Chaturvedi, Apoorva ; Rajan, M.A. ; Simha, Anantha

  • Author_Institution
    TCS Networks Lab., Bangalore, India
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    475
  • Lastpage
    480
  • Abstract
    In this paper, we propose a Weighted Signed Graph (WSG)-based power-aware routing scheme for distributed wireless networks. It is a practically implementable and self re-configurable distributed solution. It is an alternative and novel method to solve the constraint optimization with network lifetime and throughput in wireless networks. The proposed scheme runs independently on each wireless node and optimizes the network lifetime by invoking power-aware routing schemes. The power-aware routing scheme we propose in this paper is a modified shortest path routing (Distance Vector (DV) Routing) scheme wherein instead of path length, we employ link cost in terms of congestion and battery availability at nodes for route computation. We also propose linear as well as non-linear sectorization of available battery power at a node for sending route update packets. We perform extensive simulation using Java implementation and observe that our scheme minimizes the message passing involved in DV routing deployment. We further observe that the proposed WSG scheme out-performs the basic DV routing in-terms of throughput and lifetime of the network.
  • Keywords
    graph theory; radio networks; Java implementation; battery power; constraint optimization; distributed wireless networks; message passing; network lifetime; nonlinear sectorization; power aware routing; route computation; route update packets; shortest path routing; weighted signed graph; wireless node; Batteries; Optimization; Routing; Vectors; Wireless networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Globecom Workshops (GC Wkshps), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    978-1-4673-4942-0
  • Electronic_ISBN
    978-1-4673-4940-6
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2012.6477619
  • Filename
    6477619