An Indoor Positioning System Based on Probabilistic Model with ZigBee Sensor Networks
Junpei Tsuji*,***, Hidenori Kawamura*,***, Keiji Suzuki*,***,
Takeshi Ikeda**,***, Akio Sashima**,***,
and Koichi Kurumatani**,***
*Laboratory of Harmonious Systems Engineering, Hokkaido University, Sapporo, Japan
**National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
***Core Research for Evolutional Science and Technology (CREST), Tokyo, Japan
In large indoor commercial spaces constructed recently, services are improved if indoor locations of visitors and employees can be detected. The indoor positioning using ZigBee network based on preobservation of RSSI at positioning areas we propose presents experiments on positioning a mobile ZigBee node on a laboratory floor, including multipath effect. Using our proposal, we determine mobile node location within an accuracy of 3.0 m.
Takeshi Ikeda, Akio Sashima, and
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