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

被引:92
|
作者
Huh, Jun-Ho [1 ]
Seo, Kyungryong [2 ]
机构
[1] Catholic Univ Pusan, Dept Software, 57 Oryundae Ro, Busan 46252, South Korea
[2] Pukyong Natl Univ, Dept Comp Engn, Busan 48513, South Korea
基金
新加坡国家研究基金会;
关键词
Bluetooth beacon; !text type='Java']Java[!/text] Android implementation; Artificial Intelligence; !text type='Python']Python[!/text] implementation; IoT; indoor localization; control system; HOME; INFRASTRUCTURE;
D O I
10.3390/s17122917
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
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页数:22
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