Article
Version 1
Preserved in Portico This version is not peer-reviewed
Crowdsensing Influences and Error Sources in Urban Wi-Fi Fingerprinting Positioning
Version 1
: Received: 14 November 2019 / Approved: 16 November 2019 / Online: 16 November 2019 (00:41:05 CET)
A peer-reviewed article of this Preprint also exists.
Leca, C.-L.; Nicolaescu, I.; Ciotirnae, P. Crowdsensing Influences and Error Sources in Urban Outdoor Wi-Fi Fingerprinting Positioning. Sensors 2020, 20, 427. Leca, C.-L.; Nicolaescu, I.; Ciotirnae, P. Crowdsensing Influences and Error Sources in Urban Outdoor Wi-Fi Fingerprinting Positioning. Sensors 2020, 20, 427.
Abstract
Wi-Fi fingerprinting positioning systems have been deployed for a long time in location-based services for indoor environments. Combining mobile crowdsensing and Wi-Fi fingerprinting systems could reduce the high cost for collecting the necessary data enabling the deployment of the resulting system for outdoor positioning in areas with dense Wi-Fi coverage. In this paper, we present the results attained in the designing and evaluation of an urban fingerprinting positioning system based on crowdsensed Wi-Fi measurements. We first asses the quality of the collected measurements, highlighting the influence of received signal strength on data collection. We then, evaluate the proposed system by comparing the influence of the crowdsensed fingerprints on the overall positioning accuracy for different scenarios. The evaluation helps gain valuable insight into the design and deployment of urban Wi-Fi positioning systems while also allowing the proposed system to match GPS-like accuracy in similar conditions.
Keywords
crowdsensing; databases; smartphones; urban positioning; wi-fi fingerprinting
Subject
Engineering, Electrical and Electronic Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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