1. Localisation based on Wi-Fi fingerprints: A crowdsensing approach with a device-to-device aim
- Author
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Patrice Raveneau, Stephane D'Alu, Hervé Rivano, Laboratoire Informatique, Image et Interaction - EA 2118 (L3I), Université de La Rochelle (ULR), CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria), ALGorithmes et Optimisation pour Réseaux Autonomes (AGORA), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria), Inria IPL CityLab, IPL SmartCity@Inria, ANR-11-IDEX-0007,Avenir L.S.E.,PROJET AVENIR LYON SAINT-ETIENNE(2011), La Rochelle Université (ULR), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA), Rivano, Hervé, and PROJET AVENIR LYON SAINT-ETIENNE - - Avenir L.S.E.2011 - ANR-11-IDEX-0007 - IDEX - VALID
- Subjects
Information privacy ,Measure (data warehouse) ,[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,Cover (telecommunications) ,business.industry ,Computer science ,05 social sciences ,Real-time computing ,Crowdsensing ,050801 communication & media studies ,020206 networking & telecommunications ,02 engineering and technology ,Measurement data ,World Wide Web ,Set (abstract data type) ,[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,0508 media and communications ,Feature (computer vision) ,0202 electrical engineering, electronic engineering, information engineering ,Global Positioning System ,Wi-Fi fingerprint-based localisation ,Mobile telephony ,business - Abstract
International audience; Crowdsensing is for a few years a new way to gather information. Most smartphones and mobile operating systems provide applications which are able to sense and gather several data from the environment of the device. Thanks to this collected data, it is possible to combine information from several probes. A very common use case is the collection of network scans with location to help the localisation feature of these devices. Nevertheless, most users are not aware of this spying. The collected data might represent infringements of privacy. One possible solution to keep gathering these data while maintaining privacy would consist in device-to-device communications in order to break the links between data and users. In this article we propose an approach to test the feasibility of such a system. We collected data from mobile users to combine location and network scans data. With this data, we test the accuracy level we can reach while using Wi-Fi localisation. We analyse how a new measure should be pushed and how many scans should be realised to provide location-based Wi-Fi. We analyse the minimal dataset to cover the set of locations covered by users and prove that a multiuser gathering system can benefit the users.
- Published
- 2017
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