• DocumentCode
    3063161
  • Title

    Towards optimum cost in multi-hop networks with arbitrary network demands

  • Author

    Viswanatha, Kumar ; Akyol, Emrah ; Rose, Kenneth

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California at Santa Barbara, Santa Barbara, CA, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    1833
  • Lastpage
    1837
  • Abstract
    This paper considers the problem of minimizing the communication cost for a general multi-hop network with correlated sources and multiple sinks. For the single sink scenario, it has been shown that this problem can be decoupled, without loss of optimality, into two separate subproblems of distributed source coding and finding the optimal routing (transmission structure). It has further been established that, under certain assumptions, such decoupling also applies in the general case of multiple sinks and arbitrary network demands. We show that these assumptions are significantly restrictive, and further provide examples to substantiate the loss, including settings where removing the assumptions yields unbounded performance gains. Finally, an approach to solving the unconstrained problem, where routing and coding cannot be decoupled, is derived based on Han and Kobayashi´s achievability region for multi-terminal coding.
  • Keywords
    radio networks; source coding; telecommunication network routing; arbitrary network demand; distributed source coding; multihop network; multiterminal coding; optimal routing; optimum cost; transmission structure; Cost function; Decoding; Information theory; Performance gain; Performance loss; Propagation losses; Rate-distortion; Routing; Source coding; Spread spectrum communication; Multi-hop sensor networks; distributed source coding; multi-terminal information theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513419
  • Filename
    5513419