Paper Info
Title
SHERPA: A Lightweight Smartphone Heterogeneity Resilient Portable Indoor Localization Framework
Abstract
Indoor localization is an emerging application domain that promises to enhance the way we navigate in various indoor environments, as well as track equipment and people. Wireless signal-based fingerprinting is one of the leading approaches for indoor localization. Using ubiquitous Wi-Fi access points and Wi-Fi transceivers in smartphones has enabled the possibility of fingerprinting-based localization techniques that are scalable and low-cost. But the variety of Wi-Fi hardware modules and software stacks used in today's smartphones introduce errors when using Wi-Fi based fingerprinting approaches across devices, which reduces localization accuracy. We propose a framework called SHERPA that enables efficient porting of indoor localization techniques across mobile devices, to maximize accuracy. An in-depth analysis of our framework shows that it can deliver up to 8× more accurate results as compared to state-of-the-art localization techniques for a variety of environments.
Year
DOI
Venue
2019
10.1109/ICESS.2019.8782496
2019 IEEE International Conference on Embedded Software and Systems (ICESS)
Keywords
Field
DocType
fingerprinting-based localization techniques,Wi-Fi hardware modules,smartphones,localization accuracy,SHERPA,indoor localization techniques,lightweight smartphone heterogeneity resilient portable indoor localization framework,indoor environments,wireless signal-based fingerprinting,ubiquitous Wi-Fi access points,Wi-Fi transceivers
Transceiver,Noise measurement,Computer science,Fingerprint recognition,Real-time computing,Mobile device,Software,Application domain,Porting,Embedded system,Scalability
Conference
ISSN
ISBN
Citations 
2576-3504
978-1-7281-2438-4
1
PageRank 
References 
Authors
0.36
0
4
Name
Order
Citations
PageRank
Saideep Tiku1123.12
Sudeep Pasricha2109887.51
Branislav M. Notaros321.76
Qi Han413930.38