Collaborative localization: Enhancing WiFi-based position estimation with neighborhood links in clusters

Li-Wei Chan*, Ji Rung Chiang, Yi Chao Chen, Chia Nan Ke, Jane Hsu, Hao Hua Chu

*Corresponding author for this work

研究成果: Conference contribution

47 引文 斯高帕斯(Scopus)

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.

原文English
主出版物標題Pervasive Computing - 4th International Conference, PERVASIVE 2006, Proceedings
發行者Springer Verlag
頁面50-66
頁數17
ISBN(列印)3540338942, 9783540338949
DOIs
出版狀態Published - 1 一月 2006
事件4th International Conference on Pervasive Computing, PERVASIVE 2006 - Dublin, Ireland
持續時間: 7 五月 200610 五月 2006

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3968 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference4th International Conference on Pervasive Computing, PERVASIVE 2006
國家Ireland
城市Dublin
期間7/05/0610/05/06

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  • 引用此

    Chan, L-W., Chiang, J. R., Chen, Y. C., Ke, C. N., Hsu, J., & Chu, H. H. (2006). Collaborative localization: Enhancing WiFi-based position estimation with neighborhood links in clusters. 於 Pervasive Computing - 4th International Conference, PERVASIVE 2006, Proceedings (頁 50-66). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 3968 LNCS). Springer Verlag. https://doi.org/10.1007/11748625_4