IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v14y2018i12p1550147718821851.html
   My bibliography  Save this article

A research on wireless sensor networks’ node positioning mechanism based on Narrowband Internet of Things data linking

Author

Listed:
  • Xiaojun Wu
  • Qiying Cao
  • Yuanjie Li

Abstract

NB-IoT (Narrowband Internet of Things), as a part of new-generation cellular communication technology, leads an innovation in wireless sensor networks. It pushes wireless sensor networks to be applied in more application fields. NB-IoT Release 14 has got the ability of positioning from cellular network service. To solve the positioning problem of new wireless sensor networks based on NB-IoT, instead of static three-point measuring way DV-HOP (distance vector hop), NB-IoT connecting point node is deployed to work as an anchor node that moves among three different places and receives signals from all other unknown nodes in the cluster. Based on the DV-HOP algorithm, in this article a topological structure for new-generation wireless sensor networks is built and the NBIOT-DVHOP mechanism combining the NB-IoT cellular network positioning ability and the DV-HOP algorithm is proposed. According to the simulation on the MATLAB platform, the effectiveness of this mechanism is verified and the deviation rate of each point from the relative position is presented. The deviation rate is related to the communication radius and the numbers of unknown nodes and anchor nodes. The simulation results can support the next step of research in NB-IoT-based wireless sensor networks, especially in data collection and fast positioning of unknown sensor nodes.

Suggested Citation

  • Xiaojun Wu & Qiying Cao & Yuanjie Li, 2018. "A research on wireless sensor networks’ node positioning mechanism based on Narrowband Internet of Things data linking," International Journal of Distributed Sensor Networks, , vol. 14(12), pages 15501477188, December.
    • Handle: RePEc:sae:intdis:v:14:y:2018:i:12:p:1550147718821851
    DOI: 10.1177/1550147718821851
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147718821851
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147718821851?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
    ---><---

    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:14:y:2018:i:12:p:1550147718821851. 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.