DocumentCode :
653204
Title :
Time Efficient Tag Searching in Multiple Reader RFID Systems
Author :
Shigeng Zhang ; Xiaoxian He ; Hong Song ; Daqiang Zhang
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
fYear :
2013
fDate :
20-23 Aug. 2013
Firstpage :
481
Lastpage :
488
Abstract :
RFID technologies have been applied in various applications such as inventory control and supply chain management. In this paper, we investigate the tag searching problem in large RFID systems containing multiple readers. Given a particular set of wanted tags, tag searching refers to finding which of them present in the system. Tag searching is important to many practical applications and it should be done quickly. Prior researches on tag searching did not consider interference among nearby readers, which will greatly affect the time efficiency of tag searching solutions. In this paper, we propose a tag searching protocol that achieves high time efficiency by jointly optimizing the searching precision and reader scheduling. We propose a novel technique to quickly test whether a wanted tag exists in the system or not. The execution time of the protocol is greatly affected by the scheduling of readers. We formulate the minimum time reader scheduling problem and prove its NP-hardness. We then design a heuristic algorithm to find a feasible reader scheduling. Simulation results show the superior performance of the proposed searching protocol: Compared with the best existing solutions, the proposed protocol reduces execution time by more than 40 percent.
Keywords :
computational complexity; protocols; radiofrequency identification; scheduling; NP-hardness; RFID technology; execution time reduction; heuristic algorithm; inventory control; minimum time reader scheduling problem; multiple-reader RFID systems; protocol execution time; searching precision; supply chain management; tag searching protocol; tag searching solution; time-efficient tag searching; wanted tags; Cats; Interference; Protocols; Radiofrequency identification; Scheduling; Search problems; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.97
Filename :
6682111
Link To Document :
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