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Beacon Proximity Based Service to Find Nearby

Benjawan Srisura and Taiya Thakiguchi
Vincent Mary School of Science and Technology, Assumption University, Bangkok, Thailand

Abstract—The Internet of Things (IoT) is often embedded as a crucial part of many smart systems, especially in car park recommendation systems. Such recommendations require the knowledge of the current location of the car driver through a mobile application, yet existing mobile sensors such as GPS and Barometer sensor are not significantly qualified or stabilized to deliver a current location. Therefore, this research proposes using an installed IoT location based service, named Beacon, to act as a proximity sensor to transmit current car locations to recommend nearby parking spaces to the driver via a mobile application. The proposed system is explained in detail and implemented to test its accuracy. In the experiment, the accuracy of nearby parking space recommendations was assessed and compared with previous studies.
Index Terms—Finding nearby parking zones, mobile parking, parking space recommendation, Beacon technology, internet of things

Cite: Benjawan Srisura and Taiya Thakiguchi, "Beacon Proximity Based Service to Find Nearby Parking Spaces," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 9, No. 5, pp. 373-379, September 2020. Doi: 10.18178/ijeetc.9.5.373-379

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.