Title :
An intelligent space location identification system based on passive RFID tags
Author :
Yu Han-Yan ; Jian-Jone Chen
Author_Institution :
Dept. of Electr. Eng. Dept., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
The development of context-aware control for smart space applications becomes popular recently, in which radio frequency identification (RFID) plays an important role. For an indoor context-aware smart space system, RFID tags and readers are utilized to locate object coordinates, cf. GPS utilizes GNSS for capture outdoor location information. Previous researches proposed to deploy regularly spaced reference tags, based on which the space location of target object tag can be estimated. Due to tag signal collision and received signal errors, the estimation accuracy is limited. We propose to utilize more than one RFID readers and control the reading power to eliminate estimation error. Passive tags that are cost effective are deployed for dense tag grid, e.g., for high accuracy location estimation. Experiments show that the proposed method can significantly reduce the estimation error from 69 cm to be under 15 cm. This RFID-based object location system can be applied to help people to locate personal belongings. In addition, a video surveillance system can be integrated with the object location method to provide context-awareness service.
Keywords :
Global Positioning System; radiofrequency identification; signal detection; ubiquitous computing; GNSS; GPS; RFID readers; RFID-based object location system; capture outdoor location information; context-aware control; estimation error; indoor context-aware smart space system; intelligent space location identification system; object location method; passive RFID tags; passive tags; radio frequency identification; received signal errors; smart space applications; tag signal collision; target object tag; video surveillance system; Abstracts; Antenna measurements; Antennas; Equations; Adaptive Reader Power Control; Radio Frequency IDentification (RFID); Real-Time Space Location System; Smart Space; Tag Collisions;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009153