Sensor Self-location with FTM Measurements

Jerome Henry (1) , Nicolas Montavont (2, 3) , Yann Busnel (4, 5, 3) , Romaric Ludinard (6, 3) , Ivan Hrasko (1)

1 Cisco Systems
2 OCIF - Objets communicants pour l'Internet du futur
3 IMT Atlantique - SRCD - Département Systèmes Réseaux, Cybersécurité et Droit du numérique
4 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires
5 DIONYSOS - Dependability Interoperability and perfOrmance aNalYsiS Of networkS
6 ADOPNET - Advanced technologies for operated networks

Multidimensional Scaling is commonly used to solve multi-sensor location problems. In this paper, we show that such technique provides poor results in the case of indoor location problems based on 802.11 Fine Timing Measurements, especially when the number of anchors is small. We then propose an iterative approach based on geometric resolution of angle inaccuracies. We show that this geometric approach provides better location accuracy results than other Euclidean Distance Matrix techniques based on Least Square Error logic. We also show that the proposed technique, with the input of one or more known points, can allow a set of fixed sensors to auto-determine their position on a floor plan.

Mots clés: mMDS; Euclidean Distance Metric; Multidimensional Scaling; FTM; Fine Timing Measurement; 802.11

Domaines: Algorithme et structure de données [cs.DS]; Calcul parallèle, distribué et partagé [cs.DC]; Théorie de l'information [cs.IT]

Jerome Henry, Nicolas Montavont, Yann Busnel, Romaric Ludinard, Ivan Hrasko. Sensor Self-location with FTM Measurements. WiMob 2020 - 16th International Conference on Wireless and Mobile Computing, Networking and Communications, Oct 2020, Thessaloniki (virtual ), Greece. pp.1-6, ⟨10.1109/WiMob50308.2020.9253395⟩. ⟨hal-03034281⟩