scispace - formally typeset
F

François Spies

Researcher at University of Franche-Comté

Publications -  60
Citations -  915

François Spies is an academic researcher from University of Franche-Comté. The author has contributed to research in topics: Wireless network & Hybrid positioning system. The author has an hindex of 15, co-authored 57 publications receiving 870 citations. Previous affiliations of François Spies include Centre national de la recherche scientifique.

Papers
More filters
Proceedings ArticleDOI

Impact of radio propagation models in vehicular ad hoc networks simulations

TL;DR: This paper characterize the behavior of the channel regarding losses, deduce a set of properties needed for lightweight models still producing relevant results, and implement them in a model called shadowing-pattern which is used in a VANET distinctive scenario where it considerably modifies the results of a data propagation application.
Proceedings ArticleDOI

A Friis-based calibrated model for WiFi terminals positioning

TL;DR: The model is based on the Friis relation, which expresses signal strength as a function of distance, in a free space environment, and constitutes the mobility service in a video on demand system called MoVie (mobile video).
Journal ArticleDOI

Indoor Wi-Fi positioning: techniques and systems

TL;DR: This work proposes a layered positioning system based on a model combining a reference point-based approach with a trilateration-based one, and several layers of refinement are offered based on the knowledge of the topology and devices deployed.
Proceedings ArticleDOI

Open Wireless Positioning System: A Wi-Fi-Based Indoor Positioning System

TL;DR: This work proposes an indoor positioning system, based on the IEEE 802.11 wireless network, that implements several of the major mobile position computation algorithms and techniques, including fin- gerprinting location, topology-based and viterbi-like algorithm, propagation models.
Proceedings ArticleDOI

Wi-Fi-based indoor positioning: Basic techniques, hybrid algorithms and open software platform

TL;DR: In urbanized and indoor environments, outdoor positioning systems, such as Global Navigation Satellite Systems (GNSSs), are often inaccurate and adaptations of such systems to those contexts are expensive and hard to deploy.