• DocumentCode
    2174730
  • Title

    Evaluation of the LDR protocol in a hybrid sensor networks/MANET architecture

  • Author

    Zhuoqun Li ; Barria, Javier A. ; Lent, Ricardo

  • Author_Institution
    Intelligent Systems and Networks Group, Department of Electrical and Electronics Engineering, Imperial College London, South Kensington Campus, SW7 2AZ, United Kingdom
  • fYear
    2008
  • fDate
    15-16 April 2008
  • Firstpage
    161
  • Lastpage
    166
  • Abstract
    Rescue operations are often carried out in hostile environments where no static or centralized infrastructure is available to support communications on the move. In thin circumstance, a MANET can be formed by a group of mobile devices to enable peer-to-peer communications. Stringent QoS (e.g. delivering packets with high reliability) requirements may be difficult to fulfill for such operations in a MANET because of the high dynamism of nodal mobility and consequently the uncertainty of network topology. Many routing protocols has been recently proposed to evaluate the stability of links in a MANET based on the time-varying relative positions between nodes and to determine a reliable way for packet delivery. However, these protocols rely on the availability of GFS signal or inter-node range estimates. In this paper we analysis and discuss the performance of the Link Durability Routing (LDR) protocol that is distinguished from conventional methods by the exploitation of a hybrid architecture of sensor networks/MANET for locating mobile nodes and real-time assessment of the durability of inks. Our simulation results reveal that, in comparison to two benchmark protocols (e.g. AODV and DSR) under the same networking conditions characterized by a Dangerous Zone Mobility model (DZM), the LDR protocol is able to deliver 19% more packets with the hybrid network architecture that achieves energy savings of up to 3 mJ for each received data byte.
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Target Tracking and Data Fusion: Algorithms and Applications, 2008 IET Seminar on
  • Conference_Location
    Birmingham
  • ISSN
    0537-9989
  • Print_ISBN
    978-0-86341-910-2
  • Type

    conf

  • Filename
    4567765