Crowdsensing Influences and Error Sources in Urban Outdoor Wi-Fi Fingerprinting Positioning
| Autor: | Ioan Nicolaescu, Cristian-Liviu Leca, Petrica Ciotirnae |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Positioning system
crowdsensing databases Computer science media_common.quotation_subject Real-time computing 020206 networking & telecommunications 02 engineering and technology lcsh:Chemical technology Biochemistry Atomic and Molecular Physics and Optics Article smartphones Analytical Chemistry Crowdsensing Wi-Fi fingerprinting 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation urban positioning media_common |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 20 Issue 2 Sensors, Vol 20, Iss 2, p 427 (2020) |
| ISSN: | 1424-8220 |
| Popis: | 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 of 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 design and evaluation of an urban fingerprinting positioning system based on crowdsensed Wi-Fi measurements. We first assess 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. This 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. |
| Databáze: | OpenAIRE |
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