TY - GEN
T1 - Experience
T2 - 28th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2022
AU - Ni, Jiazhi
AU - Zhang, Fusang
AU - Xiong, Jie
AU - Huang, Qiang
AU - Chang, Zhaoxin
AU - Ma, Junqi
AU - Xie, Binbin
AU - Wang, Pengsen
AU - Bian, Guangyu
AU - Li, Xin
AU - Liu, Chang
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/10/14
Y1 - 2022/10/14
N2 - While GPS-based outdoor localization has become a norm, very few indoor localization systems have been deployed and used. In this paper, we share our 5-year experience on the design, development and evaluation of a large-scale WiFi indoor localization system. We address practical challenges encountered to bridge the gap between indoor localization research in the laboratory and system deployment in the wild. The system is currently used in 1469 shopping malls, 393 office buildings and 35 hospitals across 35 cities to provide location service to millions of users on a daily basis. We hope the shared experience can benefit the design of real-world indoor localization systems and the practical problems identified can change the focus of indoor localization research. We released our dataset that contains fingerprints collected from 1469 shopping malls and one office building.
AB - While GPS-based outdoor localization has become a norm, very few indoor localization systems have been deployed and used. In this paper, we share our 5-year experience on the design, development and evaluation of a large-scale WiFi indoor localization system. We address practical challenges encountered to bridge the gap between indoor localization research in the laboratory and system deployment in the wild. The system is currently used in 1469 shopping malls, 393 office buildings and 35 hospitals across 35 cities to provide location service to millions of users on a daily basis. We hope the shared experience can benefit the design of real-world indoor localization systems and the practical problems identified can change the focus of indoor localization research. We released our dataset that contains fingerprints collected from 1469 shopping malls and one office building.
KW - indoor localization
KW - labor-free fingerprint collection
KW - large-scale localization
KW - real-world deployment
KW - wifi access point name-location matching
KW - wifi-based localization
UR - https://www.scopus.com/pages/publications/85140885971
U2 - 10.1145/3495243.3560546
DO - 10.1145/3495243.3560546
M3 - 会议稿件
AN - SCOPUS:85140885971
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 147
EP - 157
BT - ACM MobiCom 2022 - Proceedings of the 2022 28th Annual International Conference on Mobile Computing and Networking
PB - Association for Computing Machinery
Y2 - 17 October 2202 through 21 October 2202
ER -