• DocumentCode
    2042548
  • Title

    Poster Abstract: Numerical Analysis of WSN Protocol Using Probabilistic Timed Automata

  • Author

    Zhang, Fengling ; Bu, Lei ; Wang, Linzhang ; Zhao, Jianhua ; Li, Xuandong

  • Author_Institution
    State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China
  • fYear
    2012
  • fDate
    17-19 April 2012
  • Firstpage
    237
  • Lastpage
    237
  • Abstract
    Timing-sync Protocol for Sensor Networks (TPSN) is a widely used protocol which provides network-wide time synchronization in a sensor network. We use formal methods to study it thoroughly in this poster. First of all, we model the protocol with timed automata which can describe the workflow of TPSN in an ideal environment. However, in realistic circumstances, there are many uncertainties, for example, message loss and node dynamics. Thus, we extend our model with probabilities to describe these uncertainties. Besides verifying the system against several critical functional properties, we also show that it is also possible to evaluate the performance of TPSN by statistical model checking to estimate how it works in realistic environments.
  • Keywords
    formal verification; numerical analysis; probabilistic automata; protocols; statistical analysis; synchronisation; wireless sensor networks; TPSN performance evaluation; WSN protocol; cyber-physical system; numerical analysis; probabilistic timed automata; statistical model checking; synchronization protocol; timing-sync protocol for sensor networks; wireless sensor network protocols; Analytical models; Automata; Numerical analysis; Probabilistic logic; Protocols; Synchronization; Wireless sensor networks; Correctness Verification; Performance Evaluation; Probabilistic Timed Automata; Statistical Model Checking; Timing-sync Protocol for Sensor Networks; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Physical Systems (ICCPS), 2012 IEEE/ACM Third International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1537-1
  • Type

    conf

  • DOI
    10.1109/ICCPS.2012.57
  • Filename
    6197430