Indoor Location Tracking System Based on Android Application Using Bluetooth Low Energy Beacons for Ubiquitous Computing Environment

Abstract

Indoor positioning and tracking systems have become enormous issue in location awareness computing due to its improvement of location detection and positioning identification. The locations are normally detected using position technologies such as Global Positioning System, radio frequency identification, Bluetooth Beacon, Wi-Fi fingerprinting, pedometer and so on. This research presents an indoor positioning system based on Bluetooth low energy 4.0 Beacons; we have implemented Bluetooth signal strength for tracking the specific location and detect the movement of user through Android application platform. Bluetooth low energy was addressed to be an experiment technique to set up into the real environment of interior the building. The signal strength of beacons is evaluated and measured the quality of accuracy as well as the improvement of provide raw data from Beacons to the system to get better performance of the direction map and precise distance from current location to desire’s positioning. A smartphone application detects the location-based Bluetooth signal strength accurately and can be achieved the destination by provided direction map and distance perfectly.

Research on Spectrum Feature Identification of Indoor Multimodal Communication Signal

“…As shown in formula (5), where K > 0 is a constant and ℓ log ðy i ðω T x i + bÞ − 1Þ is the logistic loss function, that is, ℓ log ðzÞ = log ð1 + exp ð−zÞÞ. The introduction of the pair rate regression model has the advantage of output prediction marker and probability parameter, which is suitable for multiclassification problems in application.…”

“…The FCA is a clustering algorithm based on the fuzzy system theory [5]. Bezdek proposed the FCA [6] as early as 1973, which originated from the improved early K-means clustering algorithm.…”

An indoor positioning system based on visible light and multi-sensor fusion

“…Although Global Positioning System (GPS) can provide satisfactory outdoor positioning service, positioning accuracy cannot be reliably guaranteed in the indoor environment [2]. At present, indoor localization technology mainly relies on RF signals [3], such as WiFi [4], Bluetooth [5], Ultra wide Band (UWB) [6], and visible light [7]. WiFi-based positioning systems are inexpensive but have poor positioning precision.…”