https://scholars.lib.ntu.edu.tw/handle/123456789/117596
標題: | Collaborative localization – enhancing WiFi-based position estimation with neighborhood links in clusters | 作者: | Chan, Li-wei Chiang, Ji-rung Chen, Yi-chao Ke, Chia-nan YUNG-JEN HSU Chu, Hao-hua |
公開日期: | 2006 | 卷: | 3968 LNCS | 起(迄)頁: | 50-66 | 來源出版物: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 摘要: | Location-aware services can benefit from accurate and reliable indoor location tracking. The widespread adoption of 802.11x wireless LAN as the network infrastructure creates the opportunity to deploy WiFi-based location services with few additional hardware costs. While recent research has demonstrated adequate performance, localization error increases significantly in crowded and dynamic situations due to electromagnetic interferences. This paper proposes collaborative localization as an approach to enhance position estimation by leveraging more accurate location information from nearby neighbors within the same cluster, The current implementation utilizes ZigBee radio as the neighbor-detection sensor. This paper introduces the basic model and algorithm for collaborative localization. We also report experiments to evaluate its performance under a variety of clustering scenarios. Our results have shown 28.2-56% accuracy improvement over the baseline system Ekahau, a commercial WiFi localization system. © Springer-Verlag Berlin Heidelberg 2006. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/154552 https://www.scopus.com/inward/record.uri?eid=2-s2.0-33745926218&doi=10.1007%2f11748625_4&partnerID=40&md5=c281b9860b2c8725808574558d13eb1f |
ISSN: | 03029743 | DOI: | 10.1007/11748625_4 | SDG/關鍵字: | Computer hardware; Costs; Local area networks; Mobile telecommunication systems; Signal interference; Tracking (position); Clusters; Position estimation; WiFi localization system; Wireless LAN; Computer supported cooperative work |
顯示於: | 資訊工程學系 |
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