• DocumentCode
    498764
  • Title

    Greedy routing with guaranteed delivery using Ricci flows

  • Author

    Sarkar, Rik ; Yin, Xiaotian ; Gao, Jie ; Luo, Feng ; Gu, Xianfeng David

  • Author_Institution
    Dept. of Comput. Sci., Stony Brook Univ., Stony Brook, NY, USA
  • fYear
    2009
  • fDate
    13-16 April 2009
  • Firstpage
    121
  • Lastpage
    132
  • Abstract
    Greedy forwarding with geographical locations in a wireless sensor network may fail at a local minimum. In this paper we propose to use conformal mapping to compute a new embedding of the sensor nodes in the plane such that greedy forwarding with the virtual coordinates guarantees delivery. In particular, we extract a planar triangulation of the sensor network with non-triangular faces as holes, by either using the nodes´ location or using a landmark-based scheme without node location. The conformal map is computed with Ricci flow such that all the non-triangular faces are mapped to perfect circles. Thus greedy forwarding will never get stuck at an intermediate node. The computation of the conformal map and the virtual coordinates is performed at a preprocessing phase and can be implemented by local gossip-style computation. The method applies to both unit disk graph models and quasi-unit disk graph models. Simulation results are presented for these scenarios.
  • Keywords
    conformal mapping; telecommunication network routing; wireless sensor networks; Ricci flows; conformal mapping; geographical locations; gossip-style computation; greedy forwarding; greedy routing; landmark-based scheme; node location; quasi-unit disk graph models; wireless sensor network; Accuracy; Approximation algorithms; Batteries; Monitoring; Road transportation; Routing; Scheduling algorithm; Sensor phenomena and characterization; Telecommunication traffic; Wireless sensor networks; Conformal Mapping; Greedy Forwarding; Ricci Flow; Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2009. IPSN 2009. International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4244-5108-1
  • Electronic_ISBN
    978-1-60558-371-6
  • Type

    conf

  • Filename
    5211935