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Sensors 2017, 17(12), 2917; https://doi.org/10.3390/s17122917

An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems

1
Department of Software, Catholic University of Pusan, Geumjeong-gu, 57 Oryundae-ro, Busan 46252, Korea
2
Department of Computer Engineering, Pukyong National University, Busan 48513, Korea
*
Author to whom correspondence should be addressed.
Received: 23 October 2017 / Revised: 5 December 2017 / Accepted: 11 December 2017 / Published: 19 December 2017
(This article belongs to the Special Issue Advances on Resources Management for Multi-Platform Infrastructures)

Abstract

The indoor location-based control system estimates the indoor position of a user to provide the service he/she requires. The major elements involved in the system are the localization server, service-provision client, user application positioning technology. The localization server controls access of terminal devices (e.g., Smart Phones and other wireless devices) to determine their locations within a specified space first and then the service-provision client initiates required services such as indoor navigation and monitoring/surveillance. The user application provides necessary data to let the server to localize the devices or allow the user to receive various services from the client. The major technological elements involved in this system are indoor space partition method, Bluetooth 4.0, RSSI (Received Signal Strength Indication) and trilateration. The system also employs the BLE communication technology when determining the position of the user in an indoor space. The position information obtained is then used to control a specific device(s). These technologies are fundamental in achieving a “Smart Living”. An indoor location-based control system that provides services by estimating user’s indoor locations has been implemented in this study (First scenario). The algorithm introduced in this study (Second scenario) is effective in extracting valid samples from the RSSI dataset but has it has some drawbacks as well. Although we used a range-average algorithm that measures the shortest distance, there are some limitations because the measurement results depend on the sample size and the sample efficiency depends on sampling speeds and environmental changes. However, the Bluetooth system can be implemented at a relatively low cost so that once the problem of precision is solved, it can be applied to various fields. View Full-Text
Keywords: Bluetooth beacon; Java Android implementation; Artificial Intelligence; Python implementation; IoT; indoor localization; control system Bluetooth beacon; Java Android implementation; Artificial Intelligence; Python implementation; IoT; indoor localization; control system
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Huh, J.-H.; Seo, K. An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems. Sensors 2017, 17, 2917.

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