Title: User localisation using wireless signal strength - an application for pattern classification using fuzzy decision tree

Authors: Swathi Jamjala Narayanan; Rajen B. Bhatt; Ilango Paramasivam

Addresses: School of Computing Science and Engineering, VIT University, Vellore-632014, India ' Robert Bosch Research and Technology Centre, Pittsburgh, PA 15203, USA ' School of Computing Science and Engineering, VIT University, Vellore-632014, India

Abstract: Due to prevalent availability of wireless networks, there is enormous usage of mobile devices among the public in all sectors. Locating the mobile devices using the wireless signal strength received enables transparent and immediate services for both indoor and outdoor users. For indoor users, a smart environment could be provided by giving smart facilities like automating switching on/off of room lights, air conditioning, etc., by finding the user's exact location using their mobile device. Similarly, outdoor users can get services from the mobile service providers based on their current location. In this paper, we consider indoor user localisation as a pattern classification problem and propose to apply fuzzy decision tree (FDT) for locating users. As far as our knowledge is concerned, this is the first attempt to apply FDT for locating users in indoor environment using wireless signal strength received by user's handheld devices.

Keywords: fuzzy decision tree; FDT; fuzzy ID3; fuzzy c-means clustering; FCM; user localisation; neuro-fuzzy decision tree; wireless signal strength; indoor localisation; pattern classification; neural networks; fuzzy logic; user location; handheld devices; mobile devices.

DOI: 10.1504/IJIPT.2016.079551

International Journal of Internet Protocol Technology, 2016 Vol.9 No.2/3, pp.138 - 150

Received: 03 Feb 2016
Accepted: 15 Jul 2016

Published online: 29 Sep 2016 *

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