• DocumentCode
    1808510
  • Title

    On entropy measures for dynamic network topologies: limits to MANET

  • Author

    Timo, Roy ; Blackmore, Kim ; Hanlen, Leif

  • Author_Institution
    Dept. of Eng., Australian Nat. Univ., Canberra, ACT
  • fYear
    2005
  • fDate
    2-4 Feb. 2005
  • Firstpage
    95
  • Lastpage
    101
  • Abstract
    What are the fundamental limits on the communications potential of wireless networks? We contend that quantifying topological dynamics resulting from node movement enables one to: find the minimum overhead required by the network to maintain connectivity and, calculate the communication potential of the network. A mobility metric is proposed for the unbiased comparison of networks. This is an entropy measure based on the uncertainty of change in the topology of the network, and is referred to as topological uncertainty. Topological uncertainty determines the minimum overhead required by the network to correctly identify the topology and hence, provide node connectivity. We use topological uncertainty to derive fundamental bounds on the maximum bit rate available within a mobile ad-hoc networking environment. Our work demonstrates the potential of entropy measures to describe the complexities of node connectivity within wireless networks
  • Keywords
    ad hoc networks; entropy; mobile radio; telecommunication network topology; MANET; dynamic network topologies; entropy; entropy measures; mobile ad-hoc networking; mobility metric; topological uncertainty; Art; Entropy; Mobile ad hoc networks; Network topology; Remotely operated vehicles; Routing; Sprites (computer); Uncertainty; Entropy; Mobile Ad-Hoc Networks (MANET); Mobility Metrics; Routing; Throughput Capacity; Wireless Communications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Theory Workshop, 2005. Proceedings. 6th Australian
  • Conference_Location
    Brisbane, Qld.
  • Print_ISBN
    0-7803-9007-5
  • Type

    conf

  • DOI
    10.1109/AUSCTW.2005.1624233
  • Filename
    1624233