• DocumentCode
    3562525
  • Title

    A stochastic model for analyzing performance of Wireless Sensor Networks using proactive routing

  • Author

    Vo Que Son ; Dinh Quoc Hung ; Nguyen Binh Phuong

  • Author_Institution
    Telecommun. Dept., Ho Chi Minh City Univ. of Technol., Ho Chi Minh City, Vietnam
  • fYear
    2014
  • Firstpage
    494
  • Lastpage
    499
  • Abstract
    Currently, there are many research studies which focus on analyzing the performance of Wireless Sensor Networks (WSNs) in several fields such as MAC protocols, routing protocols. In this paper we present an analytical model to evaluate the performance of WSNs based on the RSSI in the application layer. This model utilizes the available RSSI in most popular sensor nodes for analysis and considers the impact of several practical parameters such as data rate, routing information or packet acknowledgements. The use of empirical RSSI as the input can help the model to precisely reflect the real performance of deployed sensor networks. In order to carry out the validation of the model, a live WSN is setup to get the real data to input the proposed analytical model and the simulator for comparison. The results from real test-bed, simulation and analysis show that the proposed analytical model is precise enough and can be applied in estimating performance of WSNs.
  • Keywords
    performance evaluation; stochastic processes; telecommunication network routing; wireless sensor networks; MAC protocol; RSSI; WSN; application layer; packet acknowledgement; proactive routing protocol; stochastic model; wireless sensor network; Analytical models; Data models; Loss measurement; Receivers; Routing; Routing protocols; Wireless sensor networks; Wireless Sensor Networks; performance; routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Technologies for Communications (ATC), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6955-5
  • Type

    conf

  • DOI
    10.1109/ATC.2014.7043439
  • Filename
    7043439