• DocumentCode
    3719218
  • Title

    Fast detection of compact topology representation for wireless networks

  • Author

    Yigal Bejerano;Katherine Guo;Thyaga Nandagopal

  • Author_Institution
    Bell-Labs, Alcatel-Lucent, NJ, USA
  • fYear
    2015
  • Firstpage
    535
  • Lastpage
    543
  • Abstract
    This paper considers a hybrid cellular architecture in which mobiles can communicate with others in their vicinity, e.g. using 802.11 interface, in addition to the base stations of the cellular network. Such an architecture can aid device-to-device communication as well as assist critical tasks of cellular networks such as mobility management, content caching and relaying. In order to enable these capabilities, base stations need to have sufficient knowledge of the underlying network topology induced by the 802.11 links of the mobiles. Due to the dynamic nature of this network, a compressed snapshot of its topology should be collected within a very short time duration and with minimal communication among mobiles. Addressing this need, we propose a compact topology representation that is suitable for a number of applications. We utilize the broadcast nature of wireless channels to design an efficient topology detection algorithm that acquires a compact representation of the underlying network (at most 3N links and a low `stretch´ factor for the N mobiles) within a short duration (10s of ms). Our scheme does not have collision resolution, backoffs or any of the other MAC layer inefficiencies.
  • Keywords
    "Network topology","Topology","IEEE 802.11 Standard","Ad hoc networks","Base stations","Manganese","Clustering algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks (LCN), 2015 IEEE 40th Conference on
  • Type

    conf

  • DOI
    10.1109/LCN.2015.7366368
  • Filename
    7366368