Paper Info
Title
Web-Based Platform For Evaluation Of Rf-Based Indoor Localization Algorithms
Abstract
The experimental efforts for optimizing the performance of RF-based indoor localization algorithms for specific environments and scenarios is time consuming and costly. In this work, we address this problem by providing a publicly accessible platform for streamlined experimental evaluation of RF-based indoor localization algorithms, without the need of a physical testbed infrastructure. We also offer an extensive set of raw measurements that can be used as input data for indoor localization algorithms. The datasets are collected in multiple testbed environments, with various densities of measurement points, using different measuring devices and in various scenarios with controlled RF interference. The platform encompasses two core services: one focused on storage and management of raw data, and one focused on automated calculation of metrics for performance characterization of localization algorithms. Tools for visualization of the raw data, as well as software libraries for convenient access to the platform from MATLAB and Python, are also offered. By contrasting its fidelity and usability with respect to remote experiments on dedicated physical testbed infrastructure, we show that the virtual platform produces comparative performance results while offering significant reduction in the complexity, time and labor overheads.
Year
Venue
Field
2015
2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW)
Data visualization,MATLAB,Visualization,Computer science,Usability,Algorithm,Computer network,Raw data,Testbed,Real-time computing,Software,Python (programming language)
DocType
ISSN
Citations 
Conference
2164-7038
6
PageRank 
References 
Authors
0.56
14
7
Name
Order
Citations
PageRank
filip lemie18111.76
vlado handziski257050.64
Niklas Wirström313410.16
Tom Van Haute4453.49
Eli De Poorter546852.94
Thiemo Voigt63458250.13
Adam Wolisz72693407.71