IDEAS home Printed from https://ideas.repec.org/a/wsi/jikmxx/v20y2021isupp01ns0219649221400050.html
   My bibliography  Save this article

Tracking of Wearable IoT Devices Through WAP Using Intelligent Rule-Based Location Aware Approach

Author

Listed:
  • L. Sai Ramesh

    (CEG Campus, Anna University, Chennai, India)

  • S. Shyam Sundar

    (CEG Campus, Anna University, Chennai, India)

  • K. Selvakumar

    (#x2020;Department of Computer Applications, NIT Trichy, India)

  • S. Sabena

    (#x2021;Anna University-Regional Centre, Tirunelveli, India)

Abstract

Usage of the internet is increasing in the daily life of humans due to the need for speedy task completion for their daily services. Most of the living time is spent in some indoor environment which provides WiFi which is the basic need of internet connectivity using Wireless Access Points (WAP). Nowadays, most of the devices are IoT-based ones, which connect with the outer world through the access points in the existing environment. The wearable IoT devices may be misplaced somewhere and we need a specific scenario which helps to identify the misplaced mobile devices based on access points where they are connected by their unique identity such as MAC address. Most of the time, unrestricted WiFi access provided in the public environment is used by the end-user. In that scenario, the tracking of misplaced mobile devices is creating an issue when the WiFi is in switch-off mode. This paper proposes a technique for tracking a mobile device by using a location-aware approach with KNN and intelligent rules by tracking the channel accessed by the user to find the misplaced path by examining the device connected WAP positions.

Suggested Citation

  • L. Sai Ramesh & S. Shyam Sundar & K. Selvakumar & S. Sabena, 2021. "Tracking of Wearable IoT Devices Through WAP Using Intelligent Rule-Based Location Aware Approach," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 20(supp01), pages 1-9, February.
  • Handle: RePEc:wsi:jikmxx:v:20:y:2021:i:supp01:n:s0219649221400050
    DOI: 10.1142/S0219649221400050
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219649221400050
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219649221400050?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:wsi:jikmxx:v:20:y:2021:i:supp01:n:s0219649221400050. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/jikm/jikm.shtml .

    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.