Title :
ZigBee environment for indoor localization
Author :
Kuek Ser Chieh ; Ng Yew Keong ; Burhan, Muhamad Fadli ; Balasubramaniam, Nagaletchumi ; Md Din, Norashidah
Author_Institution :
Centre for Commun. Service Convergence Technol., Univ. Tenaga Nasional, Kajang, Malaysia
Abstract :
Indoor localization system has become popular and widely deployed in ftracking the position and movement of objects and humans within an enclosed structure. This work proposes development of indoor localization system using ZigBee. K-Nearest Neighbor algorithm is adapted to predict the location of a user in an indoor environment. The accuracy of the indoor location sensing is investigated. Emphasis is placed on RSS sample vector fluctuation correction to further increase the prediction accuracy.
Keywords :
Zigbee; indoor radio; regression analysis; RSS sample vector fluctuation correction; ZigBee environment; indoor localization system; k-nearest neighbor algorithm; Accuracy; Estimation; Fingerprint recognition; Floors; Fluctuations; Vectors; Zigbee;
Conference_Titel :
Engineering Technology and Technopreneuship (ICE2T), 2014 4th International Conference on
Conference_Location :
Kuala Lumpur
DOI :
10.1109/ICE2T.2014.7006237
