IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v12y2016i1p6926793.html
   My bibliography  Save this article

QoS Model of WSNs Communication in Smart Distribution Grid

Author

Listed:
  • Ruju Fang
  • Jianping Wang
  • Wei Sun
  • Qiyue Li

Abstract

This paper presents an integrated modeling method providing superior Quality of Service (QoS) for wireless sensor networks (WSNs) which is suitable for smart distribution grid (SDG) communication. Traditional QoS model based on IEEE802.15.4 protocol cannot meet the communication requirements of multipriority data in smart distribution grid. In order to meet the specification of power system communication, a new QoS-enabled medium access control (MAC) model based on unfair competition channel access mechanism (UCCAM) is developed in this paper. The proposed model can ensure that the communication system of WSN provides different Qualities of Service for different priority data. According to different requirements for the communication time, the data of SDG are divided into three types: high priority, middle priority, and low priority data. The state transition of buffering queue data in node is described by a three-dimensional Markov chain model. Delay time, effective throughput rate, and channel collision rate models are developed, respectively, to evaluate communication performance of WSN applied in smart distribution grid. The simulation results show that the proposed model can provide different Qualities of Service for different priority data and is more efficient than the IEEE802.15.4e standard and the traditional methods.

Suggested Citation

  • Ruju Fang & Jianping Wang & Wei Sun & Qiyue Li, 2016. "QoS Model of WSNs Communication in Smart Distribution Grid," International Journal of Distributed Sensor Networks, , vol. 12(1), pages 6926793-692, January.
  • Handle: RePEc:sae:intdis:v:12:y:2016:i:1:p:6926793
    DOI: 10.1155/2016/6926793
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2016/6926793
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2016/6926793?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:12:y:2016:i:1:p:6926793. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.