Title :
LocaToR: Locating Passive RFID Tags with the Relative Neighborhood Graph
Author :
Zhao, Yiyang ; Cheung, S.C. ; Ni, Lionel M.
Author_Institution :
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
Passive tags are widely used in many applications, for example, the supply chain, the food industry and ware-house management. In such applications, the location information of tags is very important. However, the uncertain proper-ties of Received Signal Strength Indicators (RSSI), various backscattering events on different power levels and the directivity of readers prevent traditional ranging-based approaches working well in passive RFID systems. In accordance with our observations during experiments, we create a novel approach to locate a specific tag among objects. Although absolute positions are difficult to obtain, we can estimate locations by building a relative relationship between tags. To reduce the effect of the above limitations, we propose a range-free approach named LocaToR to establish a relative neighborhood graph. We implement our method on a real passive system. Taking environmental factors into consideration, we look at two situations: a controlled chamber and a semi-open space. Experimental results show that our approach can obviously improve the accuracy of the localization system as well as save readers´ energy.
Keywords :
radiofrequency identification; LocaToR; RSSI; food industry; localization system; passive RFID tag location; power levels; range-free approach; received signal strength indicators; relative neighborhood graph; supply chain; warehouse management; Passive RFID system; Range-free localization; Relative location;
Conference_Titel :
Embedded and Ubiquitous Computing (EUC), 2010 IEEE/IFIP 8th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-9719-5
Electronic_ISBN :
978-0-7695-4322-2
DOI :
10.1109/EUC.2010.31