• DocumentCode
    589661
  • Title

    A path-transfer based multi-path reliable routing in wireless sensor networks

  • Author

    Jinbao Li ; Li Zhang ; Longjiang Guo ; Liang Yao

  • Author_Institution
    Comput. Sci. & Technol., Heilongjiang Univ., Harbin, China
  • fYear
    2012
  • fDate
    1-3 Dec. 2012
  • Firstpage
    463
  • Lastpage
    470
  • Abstract
    We study multi-path reliable routing in wireless sensor networks. When data is transmitting from the source node to the destination node, once forward nodes conflict or failures the data cannot transmit as usual. Data missing can cause a serious impact on the network. Therefore, it is worth investigating the reliability of routing protocols. Aiming at data missing caused by nodes confliction and failures, this paper starts with proposing a novel transfer relationship of two paths by a bridge. It is a notion used to react how the data is transmitted from one path to another path. We then formulate the optimal routing based on the transfer relationship by considering the effect of wireless interference as a bipartite graph model. Through the bipartite graph model, we can calculate the interference between two paths easily. In addition, we propose a strategy to deal with congestion and failures. The real test-bed experimental and simulation results show that the proposed algorithms can deal with network congestion and improve the reliability of transmission significantly.
  • Keywords
    graph theory; multipath channels; radiofrequency interference; routing protocols; wireless sensor networks; bipartite graph model; data transmission; destination node; failures; forward nodes; multipath reliable routing; network congestion; path transfer; routing protocols; source node; wireless interference; wireless sensor networks; Bipartite graph; Bridges; Data communication; Interference; Reliability; Routing; Routing protocols; multi-path; path-transfer; reliable routing; wsn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Computing and Communications Conference (IPCCC), 2012 IEEE 31st International
  • Conference_Location
    Austin, TX
  • ISSN
    1097-2641
  • Print_ISBN
    978-1-4673-4881-2
  • Type

    conf

  • DOI
    10.1109/PCCC.2012.6407658
  • Filename
    6407658