Developing a BLE Beacon-Based Location System Using Location Fingerprint Positioning for Smart Home Power Management
| Autor: | KeCheng Lu, YuWei Chan, MeiYu Wu, ChihKun Ke |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Power management
Control and Optimization smart home Computer science multilateration positioning Real-time computing fingerprint location algorithm Energy Engineering and Power Technology 02 engineering and technology lcsh:Technology 01 natural sciences multipath effect bluetooth low energy beacon Home automation 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Engineering (miscellaneous) lcsh:T Renewable Energy Sustainability and the Environment business.industry 010401 analytical chemistry Fingerprint (computing) 020206 networking & telecommunications Filter (signal processing) Multilateration 0104 chemical sciences Beacon Energy management system business Mobile device Energy (miscellaneous) |
| Zdroj: | Energies, Vol 11, Iss 12, p 3464 (2018) Energies; Volume 11; Issue 12; Pages: 3464 |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en11123464 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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