Reliability improvement for an RFID-based psychiatric patient localization system

  • Authors:
  • Chieh-Ling Huang;Pau-Choo Chung;Ming-Hua Tsai;Yen-Kuang Yang;Yu-Chia Hsu

  • Affiliations:
  • Department of Electrical Engineering, National Cheng-Kung University, 1 University Road, Tainan 70101, Taiwan, ROC and Institute of Computer and Communication, National Cheng-Kung University, Tain ...;Department of Electrical Engineering, National Cheng-Kung University, 1 University Road, Tainan 70101, Taiwan, ROC and Institute of Computer and Communication, National Cheng-Kung University, Tain ...;Department of Electrical Engineering, National Cheng-Kung University, 1 University Road, Tainan 70101, Taiwan, ROC and Institute of Computer and Communication, National Cheng-Kung University, Tain ...;Department of Psychiatry, National Cheng Kung University, Medical College, 138, Sheng-Li Road, Tainan 704, Taiwan, ROC;Advanced e-Commerce Institute, Institute for Information Industry, 22F-A, 333 Sec. 2 Duenhua S. Road, Taipei 106, Taiwan, ROC

  • Venue:
  • Computer Communications
  • Year:
  • 2008

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Abstract

Collaboration between Field Generators, Readers and Tags generates the required functions in using radio frequency identification (RFID) for psychiatric patient localization. The Field Generator continually transmits trigger signals within its transmission range. When a Tag, which a patient wears, receives a trigger signal from a Field Generator, the Tag responds to a Reader with its own ID and ID of the Field Generator that issues the trigger. Based on Field Generator IDs that a Tag responds to, the location of the patient wearing the Tag can be estimated approximately. However, in recent RFID based localization systems, certain phenomena impact the reliability of signal transmission and decrease the feasibility of the localization system. To eliminate interference from different Field Generators, this study presents a novel graph coloring with merging and deletion (GCMD) algorithm for such a localization system that eliminates interference from Field Generators located near each other. Experimental results indicate that the GCMD algorithm significantly improves localization system reliability, thereby increasing the feasibility of RFID for psychiatric patient localization.