DocumentCode
169041
Title
Poster abstract: MaWi: A hybrid Magnetic and Wi-Fi system for scalable indoor localization
Author
Chi Zhang ; Jun Luo ; Jianxin Wu
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2014
fDate
15-17 April 2014
Firstpage
275
Lastpage
276
Abstract
We present MaWi - a smart phone based scalable indoor localization system. Central to MaWi is a novel framework combining two self-contained but complementary localization techniques: Wi-Fi and Ambient Magnetic Field. Combining the two techniques, MaWi not only achieves a high localization accuracy, but also effectively reduces human labor in building fingerprint databases: to avoid war-driving, MaWi is designed to work with low quality fingerprint databases that can be efficiently built by only one person. Our experiments demonstrate that MaWi, with a fingerprint database as scarce as one data sample at each spot, outperforms the state-of-the-art proposals working on a richer fingerprint database.
Keywords
indoor radio; magnetic fields; radionavigation; smart phones; wireless LAN; MaWi; Wi-Fi system; ambient magnetic field; complementary localization techniques; human labor reduction; hybrid magnetic system; low quality fingerprint databases; smart phone based scalable indoor localization system; war-driving avoidance; Accuracy; Buildings; Databases; Educational institutions; Fingerprint recognition; IEEE 802.11 Standards; Smart phones; Indoor Localization; Mobile Sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing in Sensor Networks, IPSN-14 Proceedings of the 13th International Symposium on
Conference_Location
Berlin
Print_ISBN
978-1-4799-3146-0
Type
conf
DOI
10.1109/IPSN.2014.6846760
Filename
6846760
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