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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Research on the ZigBee-Based Indoor Location Estimation Technology
verfasst von : Chu-Hsing Lin, Jung-Chun Liu, Sheng-Hsing Tsai, Hung-Yan Lin
Erschienen in: Communication and Networking
Verlag: Springer Berlin Heidelberg
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In recent years, as rapid advances in wireless and mobile communications and continuing decreases in hardware costs, applications of the wireless sensor network are widespread; whereas location estimations in the wireless sensor technology are crucial for their use. Among them, Location-based services have been developed rapidly and find their applications in areas such as medical care, warehouse management, and mobile guide systems in public spaces. In this paper, a fingerprint based location estimation technology in the ZigBee networks is investigated, in which the collection method to build the signal strength database and the configuration of sensor nodes are examined. Furthermore, the k-nearest neighbor algorithm is used to increase accuracy of location estimations for compliance with relevant applications.