Paper Info
Title
SAP dissimilarity based high performance Wi-Fi indoor localization
Abstract
There are two longstanding issues: the fluctuation of wireless signal and the unstability of Access Point (AP), which greatly affect the performance of Wi-Fi based indoor localization. Most existing fingerprint based Wi-Fi localization methods adopt machine learning or data mining algorithms to get the location information; however, they ignore some intrinsic factors. According to massive observations, we discover some underlying characteristics of Wi-Fi indoor localization from the view of signal strength and AP. Hence, a new dissimilarity based localization method SAP (Signal-AP) is proposed to implement high performance indoor localization. The results show that SAP not only improves the localization accuracy, but also has desirable scalability of environment.
Year
DOI
Venue
2014
10.1145/2638728.2638740
UbiComp Adjunct
Keywords
Field
DocType
wi-fi signal,indoor localization,miscellaneous,dissimilarity,access point
Computer science,Real-time computing,Fingerprint,Human–computer interaction,Signal strength,Wireless signal,Data mining algorithm,Embedded system,Scalability
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Yang Gu1567.54
Yiqiang Chen21446109.32
Junfa Liu335726.85
Xinlong Jiang47610.70