DocumentCode :
1821917
Title :
An Overlap Aware Technique for Redundant Reader Elimination
Author :
Hsu, Ching-Hsien ; Yu, Chia-Hao ; Chung, Chun-Yao ; Yang, Chao-Tung ; Chou, Chih-Hsun
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Chung Hua Univ., Hsinchu, Taiwan
fYear :
2012
fDate :
4-7 Sept. 2012
Firstpage :
357
Lastpage :
360
Abstract :
Due to the recent technical advances, the Radio Frequency Identification (RFID) systems are deployed in large-scale for a variety of applications during the last decade. The collisions between readers and tags are important problems in RFID systems. There are many techniques have been proposed in literature to solve the collision problems in RFID systems. The redundant reader problem in RFID systems was proposed in recent year. Eliminating redundant readers can decrease the number of probability of reader collision. Additionally, it reduces the power consumption. In this paper, we proposed a method based on overlap-aware technique for eliminating redundant readers. In order to accurately evaluate the performance of the proposed method, it was performed in a variety of scenarios. The experiment results show that the proposed method eliminates the most number of redundant readers as compared with several well known methods, such as the RRE, the LEO, the hybrid algorithm (LEO+RRE) and the DRRE.
Keywords :
power consumption; radiofrequency identification; RFID system; overlap aware technique; power consumption reduction; radio frequency identification; reader collision probability; redundant reader elimination; Educational institutions; Image color analysis; Low earth orbit satellites; Protocols; RFID tags; Simulation; Collision Problem; RFID; Reader Coverage; Redundant Reader Elimination;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-3084-8
Type :
conf
DOI :
10.1109/UIC-ATC.2012.105
Filename :
6332020
Link To Document :
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