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

Stefano Tennina (1) , Marco Di Renzo (2) , Christos Verikoukis (3)

1 University of Porto
2 L2S - Laboratoire des signaux et systèmes
3 CTTC - Centre Tecnològic de Telecomunicacions de Catalunya = Telecommunications Technological Centre of Catalonia

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.

Domaines: Théorie de l'information [cs.IT]; Théorie de l'information et codage [math.IT]

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, ⟨10.1145/2517351.2517406⟩. ⟨hal-00933838⟩