• DocumentCode
    2863290
  • Title

    On maximizing the delivery ratio of ultra low duty-cycle WSNs under real-time constraints

  • Author

    Yang, Fei ; Auge-Blum, Isabelle

  • Author_Institution
    INRIA, Univ. de Lyon, Lyon, France
  • fYear
    2009
  • fDate
    21-23 Sept. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Duty-cycle prolongs the lifetime of battery-powered wireless sensor networks (WSNs). However, it incurs additional delay because the nodes may be asleep. In addition to energy constraints, many applications have real-time constraints, which means the sink has to be informed before a deadline when an event occurs. Moreover, wireless links among low power radios are highly unreliable. These pose big challenges to design protocols for real-time applications. In this paper, a novel forwarding scheme based on distributed wakeup scheduling is proposed which can guarantee bounded delay and have higher delivery ratio for ultra low duty-cycle WSNs under unreliable links. The proposed wakeup scheduling algorithm schedules the wakeup time of each node according to the hop number and expected delivery ratio to the sink. We model the forwarding scheme and analyze its properties. Simulation results show that the proposed algorithm has better performances in terms of delivery ratio and end-to-end delay.
  • Keywords
    protocols; telecommunication computing; wireless sensor networks; battery-powered wireless sensor networks; delivery ratio; distributed wakeup scheduling; duty cycle; energy constraints; forwarding scheme; hop number; low power radios; protocols; wireless links; Added delay; Computational modeling; Computer interfaces; Delay effects; Fires; Physics computing; Protocols; Scheduling algorithm; Turning; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Analysis & Simulation of Computer and Telecommunication Systems, 2009. MASCOTS '09. IEEE International Symposium on
  • Conference_Location
    London
  • ISSN
    1526-7539
  • Print_ISBN
    978-1-4244-4927-9
  • Electronic_ISBN
    1526-7539
  • Type

    conf

  • DOI
    10.1109/MASCOT.2009.5366188
  • Filename
    5366188