WSN-Aided People Localization: A Ray Tracing Network Planning and Performance Analysis Tool

Abstract : Wireless Sensor Networks (WSNs) are fostering pervasive healthcare applications, where people are remotely monitored, without the full time assistance of professional care-givers. A key enabling element is the possibility to locate people in indoor environments, especially in emergency situations. Framed within the WSN4QoL project, this paper proposes the use of a ray tracing model for network planning, to support efficient people localization and performance analysis. Preliminary results show accurate radio coverage estimations, with a minimal calibration effort.
Type de document :
Communication dans un congrès
ACM SenSys 2013, Nov 2013, Rome, Italy. pp.1-5, 2013, 〈10.1145/2517351.2517406〉
Liste complète des métadonnées

https://hal-supelec.archives-ouvertes.fr/hal-00933838
Contributeur : Marco Di Renzo <>
Soumis le : mardi 21 janvier 2014 - 11:03:45
Dernière modification le : jeudi 5 avril 2018 - 12:30:23

Identifiants

Collections

Citation

Stefano Tennina, Marco Di Renzo, Christos Verikoukis. WSN-Aided People Localization: A Ray Tracing Network Planning and Performance Analysis Tool. ACM SenSys 2013, Nov 2013, Rome, Italy. pp.1-5, 2013, 〈10.1145/2517351.2517406〉. 〈hal-00933838〉

Partager

Métriques

Consultations de la notice

195