• DocumentCode
    824682
  • Title

    Capacity and delay tradeoffs for ad hoc mobile networks

  • Author

    Neely, Michael J. ; Modiano, Eytan

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    51
  • Issue
    6
  • fYear
    2005
  • fDate
    6/1/2005 12:00:00 AM
  • Firstpage
    1917
  • Lastpage
    1937
  • Abstract
    We consider the throughput/delay tradeoffs for scheduling data transmissions in a mobile ad hoc network. To reduce delays in the network, each user sends redundant packets along multiple paths to the destination. Assuming the network has a cell partitioned structure and users move according to a simplified independent and identically distributed (i.i.d.) mobility model, we compute the exact network capacity and the exact end-to-end queueing delay when no redundancy is used. The capacity-achieving algorithm is a modified version of the Grossglauser-Tse two-hop relay algorithm and provides O(N) delay (where N is the number of users). We then show that redundancy cannot increase capacity, but can significantly improve delay. The following necessary tradeoff is established: delay/rate≥O(N). Two protocols that use redundancy and operate near the boundary of this curve are developed, with delays of O(√N) and O(log(N)), respectively. Networks with non-i.i.d. mobility are also considered and shown through simulation to closely match the performance of i.i.d. systems in the O(√N) delay regime.
  • Keywords
    ad hoc networks; delays; mobile radio; protocols; queueing theory; scheduling; stochastic processes; capacity-achieving algorithm; cell partitioned structure; data transmission scheduling; delay; end-end queueing delay; independent-identically distributed mobility model; mobile ad hoc network; network capacity; protocol; stochastic system; wireless network; Computer networks; Data communication; Delay; Distributed computing; Mobile ad hoc networks; Partitioning algorithms; Processor scheduling; Protocols; Relays; Throughput; Fundamental limits; queueing analysis; stochastic systems; wireless networks;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2005.847717
  • Filename
    1435642