Comparing different Machine-Learning techniques to predict Vehicles' Positions using the received Signal Strength of periodic messages

Mamoudou Sangare 1 Dinh-Van Nguyen 2 Soumya Banerjee 3, 4 Paul Muhlethaler 1 Samia Bouzefrane 5
1 EVA - Wireless Networking for Evolving & Adaptive Applications
Inria de Paris
2 RITS - Robotics & Intelligent Transportation Systems
Inria de Paris
3 CEDRIC - Centre d'études et de recherche en informatique et communications
4 BIT Mesra - Birla Institute of Technology [Mesra]
5 CEDRIC - ROC - CEDRIC. Réseaux et Objets Connectés
CEDRIC - Centre d'études et de recherche en informatique et communications
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Submitted on : Tuesday, July 9, 2019 - 5:16:51 PM
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Mamoudou Sangare, Dinh-Van Nguyen, Soumya Banerjee, Paul Muhlethaler, Samia Bouzefrane. Comparing different Machine-Learning techniques to predict Vehicles' Positions using the received Signal Strength of periodic messages. WMNC 2019. 12th IFIP Wireless and Mobile Networking Conference, Sep 2019, Paris, France. ⟨hal-02178360⟩

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