2017
DOI: 10.1186/s41445-017-0008-x
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Evaluation of fingerprinting-based WiFi indoor localization coexisted with Bluetooth

Abstract: WiFi and Bluetooth are two most commonly used short range wireless communication technologies. Recent years, with increasing number of WiFi and Bluetooth mobile terminals, tags, and other devices, a demand for integration and coexistence of these two technologies including their positioning function is booming. In this paper, we firstly investigate the interferences between WiFi and Bluetooth signals from the signal and protocol perspectives. Secondly, the principle of fingerprinting approach for WiFi position… Show more

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Cited by 17 publications
(10 citation statements)
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References 28 publications
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“…In [115] and [116] , the authors show that Wi-Fi-based and Bluetooth based localization systems can be strongly affected by the interference from other wireless devices operating at 2.4 GHz bands. To mitigate the interference, Wi-Fi devices can use 802.11b and 802.11g/n standards which deploy direct-sequence spread spectrum and orthogonal frequency-division multiplexing signaling methods.…”
Section: Wireless Technologies For Social Distancingmentioning
confidence: 99%
“…In [115] and [116] , the authors show that Wi-Fi-based and Bluetooth based localization systems can be strongly affected by the interference from other wireless devices operating at 2.4 GHz bands. To mitigate the interference, Wi-Fi devices can use 802.11b and 802.11g/n standards which deploy direct-sequence spread spectrum and orthogonal frequency-division multiplexing signaling methods.…”
Section: Wireless Technologies For Social Distancingmentioning
confidence: 99%
“…Mobile devices are equipped with RSS functionality. Hence, applications, such as user indoor positioning and navigation [24][25][26][27][28][29][30][31] and battery resource management [32], have emerged. In [24], the localization accuracy based on RSS was improved by using a priori information obtained from measurements.…”
Section: Applications Of the Path Loss Modelmentioning
confidence: 99%
“…In [28], a hybrid of a KNN algorithm and particle filtering algorithm [29] was adopted to improve the positioning accuracy of a robot in an indoor environment. The effect of Bluetooth interference with the wireless signals on the positioning accuracy was also investigated in [30]. This was performed by comparing the statistical approaches, such as the Weibull distribution and the probability of occurrence of an observed RSSI measurement.…”
Section: Applications Of the Path Loss Modelmentioning
confidence: 99%
“…When a tracked target is detected, the target's location is assumed in the proximity range marked by the IoT device. The basic idea of the fingerprinting method is to create a map of Received Signal Strength Indicator (RSSI) values for all possible locations of the target environment (Pei et al, 2017). To create such a map, the target area should be divided into equal cells and the RSSI value of the available signals should be recorded for each cell.…”
Section: European Journal Of Science Andmentioning
confidence: 99%