Developing a BLE Beacon-Based Location System Using Location Fingerprint Positioning for Smart Home Power Management

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.

Smart Management Energy Systems in Industry 4.0

“…The following paragraph summarizes the main topics of the papers published in the Special Issue [1][2][3][4][5]. Authors' geographical distribution of published papers is: 2 from Taiwan, 2 from China, and 1 from Spain.…”

“…The authors in [3] focused their work in smart living, where indoor positioning location techniques are commonly used for performing smart home power management. In this work, the study proposes a novel system framework focused on Bluetooth Low Energy (BLE).…”

An Ensemble Filter for Indoor Positioning in a Retail Store Using Bluetooth Low Energy Beacons

“…On the other hand, Bluetooth technology has become more mature and reliable for indoor positioning and the available studies are increasing. However, most works are practically laboratory experiments (e.g., [17,18,19,20]) that have not validated their indoor positioning approach in a real, fully operational environment. Further, researchers have experimented with indoor localization of subjects moving only in one-floor contexts (e.g., [56]).…”

“…Most studies have utilized Wi-Fi technology for indoor localization experimenting with a vast variety of indoor positioning techniques (e.g., [8,9,10,11]), while research on Bluetooth technology for indoor positioning is increasing (e.g., [4,12,13,14,15]). However, most works are practically laboratory experiments (e.g., [16,17,18,19,20]) that have not validated their indoor positioning approach in a real, fully operational environment.…”

Iterative Positioning Algorithm of the Target Node Based on Distance Correction in WSN

“…The distance measurement refers to calculating the distance or orientation between the unknown target node and the anchor node connected thereto through communication between them [12]. The classical distance measurement algorithms include based on signal time of arrival (TOA), signal time difference of arrival (TDOA) [13], Angle of Arrival (AOA) [14] and received signal strength (RSSI) [15,16] algorithms.…”