• DocumentCode
    3322770
  • Title

    Supporting Emergency Service by Retasking Delay-Tolerant Network Architecture

  • Author

    Dong, Fang ; Hu, Yuxiang ; Tong, Min ; Ran, Xiaomin

  • Author_Institution
    Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
  • fYear
    2009
  • fDate
    14-16 Dec. 2009
  • Firstpage
    360
  • Lastpage
    365
  • Abstract
    Emergency communication in heterogeneous networks with fragile connectivity is a challenging task. Emergency delay-tolerant network (EDTN) is a new network architecture based on the concept of delay tolerant networks (DTNs) to provide emergency service. However, existing transport protocols like TCP are not suitable to provide emergency service well with instable bandwidth and connectivity, because EDTN use opportunistic forwarding to achieve end-to-end communication. The paper proposes a hybrid layered network architecture for EDTN based on cluster classification without infrastructure. Especial investigation in the network model by introducing the data layer and control layer is also brought forward, which presents the various DTNs nodes and layer information interactions based on session initiation protocol (SIP). Moreover, we have extended the usage of EDTN in next generation network, which leads to the insights for the future theoretic study and project design.
  • Keywords
    signalling protocols; cluster classification; control layer; data layer; delay-tolerant network architecture retasking; emergency communication; emergency delay-tolerant network; end-to-end communication; fragile connectivity; heterogeneous networks; hybrid layered network architecture; opportunistic forwarding; session initiation protocol; Communication system control; Communication systems; Disruption tolerant networking; Emergency services; Mobile communication; Next generation networking; Peer to peer computing; Protocols; Wireless networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Ad-hoc and Sensor Networks, 2009. MSN '09. 5th International Conference on
  • Conference_Location
    Fujian
  • Print_ISBN
    978-1-4244-5468-6
  • Type

    conf

  • DOI
    10.1109/MSN.2009.70
  • Filename
    5401491