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Fingerprinting Based Indoor Positioning System using RSSI Bluetooth

Author(s):

Disha Adalja , Gujarat Technological University, Ahmadabad; Girish Khilari, Birla Institute of Technology Science, Pilani

Keywords:

Fingerprinting Technique, Indoor Localization, KNN Algorithm, RSSI (Received Signal Strength Indicator).

Abstract

Positioning is basis for providing location information to mobile users, however, with the growth of wireless and mobile communications technologies. Mobile phones are equipped with several radio frequency technologies for driving the positioning information like GSM, Wi-Fi or Bluetooth etc. In this way, the objective of this thesis was to implement an indoor positioning system relying on Bluetooth Received Signal Strength (RSS) technology and it integrates into the Global Positioning Module (GPM) to provide precise information inside the building. In this project, we propose indoor positioning system based on RSS fingerprint and footprint architecture that smart phone users can get their position through the assistance collections of Bluetooth signals, confining RSSs by directions, and filtering burst noises that can overcome the server signal fluctuation problem inside the building. Meanwhile, this scheme can raise more accuracy in finding the position inside the building.

Other Details

Paper ID: IJSRDV1I4021
Published in: Volume : 1, Issue : 4
Publication Date: 01/07/2013
Page(s): 889-894

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