• DocumentCode
    3237059
  • Title

    Modeling and evaluating Reliable Real-Time degree in multi-hop Wireless Sensor Networks

  • Author

    Mizanian, Kambiz ; Yousefi, Hamed ; Jahangir, Amir Hossein

  • Author_Institution
    Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran
  • fYear
    2009
  • fDate
    March 30 2009-April 1 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Wireless sensor network (WSN) should be capable of fulfilling its mission, in a timely manner and without loss of important information. In this paper, we propose a new analytical model for calculating RRT (Reliable Real-Time) degree in multihop WSNs, where RRT degree describes the percentage of real-time data that the network can reliably deliver on time from any source to its destination. Also, packet loss probability is modeled as a function of the probability of link failure when the buffer is full and the probability of node failure when node´s energy is depleted. Most of network properties are considered as random variables and a queuing-theory based model is derived. In this model, the effect of network load on the packets delay, RRT degree, and nodes energy depletion rate is considered. Simulation results are used to validate the proposed model. The simulation results agree very well with the model.
  • Keywords
    probability; telecommunication network reliability; wireless sensor networks; link failure probability; multihop wireless sensor networks; node energy depletion rate; node failure probability; packet loss probability; queuing-theory based model; random variables; reliable realtime degree; Analytical models; Computer network reliability; Computer networks; Delay; Power system reliability; Reliability engineering; Spread spectrum communication; Telecommunication network reliability; Time sharing computer systems; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2009. SARNOFF '09. IEEE
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-3381-0
  • Electronic_ISBN
    978-1-4244-3382-7
  • Type

    conf

  • DOI
    10.1109/SARNOF.2009.4850324
  • Filename
    4850324