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

L. Sai Ramesh (), S. Shyam Sundar (), K. Selvakumar () and S. Sabena ()
Additional contact information
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

Journal of Information & Knowledge Management (JIKM), 2021, vol. 20, issue supp01, 1-9

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.

Keywords: Localisation; IoT device; WAP; tracking; KNN (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219649221400050
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:jikmxx:v:20:y:2021:i:supp01:n:s0219649221400050

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219649221400050

Access Statistics for this article

Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh

More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().