• DocumentCode
    3345140
  • Title

    On Maximizing the Lifetime of Delay-Sensitive Wireless Sensor Networks with Anycast

  • Author

    Joohwan Kim ; Xiaojun Lin ; Shroff, Ness B. ; Sinha, Pradeep

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
  • fYear
    2008
  • fDate
    13-18 April 2008
  • Abstract
    Sleep-wake scheduling is an effective mechanism to prolong the lifetime of energy-constrained wireless sensor networks. However, it incurs an additional delay for packet delivery when each node needs to wait for its next-hop relay node to wake up, which could be unacceptable for delay-sensitive applications. Prior work in the literature has proposed to reduce this delay using anycast, where each node opportunistically selects the first neighboring node that wakes up among multiple candidate nodes. In this paper, we study the joint control problem of how to optimally control the sleep-wake schedule, the anycast candidate set of next-hop neighbors, and anycast priorities, to maximize the network lifetime subject to a constraint on the expected end-to-end delay. We provide an efficient solution to this joint control problem. Our numerical results indicate that the proposed solution can substantially outperform prior heuristic solutions in the literature, especially under the practical scenarios where there are obstructions in the coverage area of the wireless sensor network.
  • Keywords
    optimal control; optimisation; scheduling; set theory; telecommunication control; telecommunication network reliability; wireless sensor networks; anycast candidate set; delay-sensitive wireless sensor network lifetime maximization; joint control problem; next-hop relay node; optimal control; sleep-wake scheduling mechanism; Added delay; Communications Society; Delay effects; Optimal control; Peer to peer computing; Protocols; Relays; Routing; Scheduling; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2008. The 27th Conference on Computer Communications. IEEE
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-2025-4
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2008.132
  • Filename
    4509727