Title :
Cortina: Collaborative context-aware indoor positioning employing RSS and RToF techniques
Author :
Sun, Zheng ; Farley, Rick ; Kaleas, Telis ; Ellis, Judy ; Chikkappa, Kiran
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
Cortina is an energy-efficient indoor localization system, which leverages a wireless sensor network to support navigation and tracking applications. To improve the localization performance, we develop a hybrid ranging system, which incorporate both RSS and RToF-based techniques. To overcome effects from indoor multipath, we design and implement algorithms to take into account various contextual information. We evaluated the system over a 2000m2 area instrumented with twenty-six fixed nodes. Evaluation results show the system achieved 2.5m accuracy in a pedestrian tracking application.
Keywords :
indoor radio; navigation; wireless sensor networks; Cortina; RSS techniques; RToF techniques; collaborative context-aware indoor positioning; energy-efficient indoor localization system; hybrid ranging system; navigation; pedestrian tracking application; tracking applications; wireless sensor network; Accuracy; Compass; Distance measurement; Floors; Hidden Markov models; Sensors; Wireless sensor networks; Hidden Markov Model; Indoor Localization; Particle Filter; Round-Trip Time-of-Flight;
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2011 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-61284-938-6
Electronic_ISBN :
978-1-61284-936-2
DOI :
10.1109/PERCOMW.2011.5766901
