Research on the ZigBee-based indoor location estimation technology

THUIR > College of Engineering > Department of Computer Science and Information > Conference Papers > Item 310901/23334

Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/23334

Title:	Research on the ZigBee-based indoor location estimation technology
Authors:	Lin, C.-H., Liu, J.-C., Tsai, S.-H., Lin, H.-Y.
Contributors:	Department of Computer Science, Tunghai University
Keywords:	Collection methods;fingerprint;Hardware cost;Indoor localization;K nearest neighbor algorithm;Location estimation;Location-Based Services;Mobile communications;Mobile guides;Public space;Signal strengths;Warehouse management;Wireless sensor;Wireless sensor technology;ZigBee networks
Date:	2011
Issue Date:	2013-06-19T09:04:02Z (UTC)
Publisher:	Jeju Island; South Korea
Abstract:	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. ? 2011 Springer-Verlag.
Relation:	Communications in Computer and Information Science 265 CCIS (PART 1) , pp. 82-86
Appears in Collections:	[Department of Computer Science and Information ] Conference Papers

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