Title :
A Comprehensive Study of Bluetooth Fingerprinting-Based Algorithms for Localization
Author :
Li Zhang ; Xiao Liu ; Jie Song ; Gurrin, C. ; Zhiliang Zhu
Author_Institution :
Software Coll., Northeastern Univ., Shenyang, China
Abstract :
There is an increasing demand for indoor navigation and localization systems along with the increasing popularity of location based services in recent years. According to past researches, Bluetooth is a promising technology for indoor wireless positioning due to its cost-effectiveness and easy-to-deploy feature. This paper studied three typical fingerprinting-based positioning algorithms - kNN, Neural Networks and SVM. According to our analysis and experimental results, the kNN regression method is proven to be a good candidate for localization in real-life application. Comprehensive performance comparisons including accuracy, precision and training time are presented.
Keywords :
Bluetooth; mobile computing; neural nets; pattern classification; regression analysis; support vector machines; Bluetooth fingerprinting-based algorithms; SVM; cost-effectiveness; easy-to-deploy feature; indoor navigation systems; indoor wireless positioning; kNN regression method; localization systems; location based services; neural networks; training time; Algorithm design and analysis; Artificial neural networks; Bluetooth; Fingerprint recognition; Support vector machines; Training; Bluetooth indoor positioning; Fingerprinting; Neural Networks; SVM; kNN;
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-6239-9
Electronic_ISBN :
978-0-7695-4952-1
DOI :
10.1109/WAINA.2013.205
