Abstract
In recent years, smart homes have begun to use various sensors to detect the location of users indoors. However, such sensors may not be stable, resulting in high detection error rates. Thus, how to improve indoor positioning accuracy has become an important topic. This study explored Bluetooth Low Energy (BLE) Beacon indoor positioning for smart home power management. A novel system framework using BLE Beacon was proposed to detect the user location, and to perform power management in the home through a mobile device application. Since the BLE Beacon may produce a multipath effect, this study used the positioning algorithm and hardware configuration to reduce the error rate. Location fingerprint positioning algorithm and filter modification were used to establish a positioning method for facilitating deployment, and to reduce the required computing resources. The experiments included an observation of the Received Signal Strength Indicators (RSSI) and selecting filters and a discussion of the relationship between the characteristics of the BLE Beacon signal accuracy and the number of the BLE Beacons deployed in the observation space. The BLE Beacon multilateration positioning was combined with the In-Snergy intelligent energy management system for smart home power management. The contribution of this study is to allow users to enjoy smart home services based on their location within the home using a mobile device application.
Highlights
In recent years, information and communication technology has rapidly advanced
This study explores Bluetooth Low Energy (BLE) Beacon indoor positioning, and proposes a novel system framework using BLE Beacon to detect the user location, and for smart home power management, via a mobile device application [14,15]
Since the multipath effect problem of BLE Beacon highlights the importance of the filter [18], this study explored the difference between the mean filter and the median filter
Summary
In order to achieve a more convenient living environment, people have begun to install intelligent appliances that are able to transmit information in their homes, resulting in the Internet of Things (IoT) [1,2,3]. With the maturity of cloud computing and IoT technology, smart homes have become an important future trend [4]. The smart home is an applied case of the concept of IoT to control appliances in the home via Wireless Sensor Networks (WSNs) anytime and anywhere, and cloud computing allows users to make home appliances more intelligent to obtain convenient services [4,5]. As the scope of people’s activities is no longer limited to the unshielded surface on the earth, GPS cannot provide accurate positioning services if people stay indoors, or move within a building.
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