DocumentCode :
3209632
Title :
A Tree-Based Hierarchy Framework for RFID Data Repository
Author :
Lu, Youyou ; Qian, Zhuzhong ; Lu, Sanglu
Author_Institution :
Dept. of Comput. Sci. & Technol., Nanjing Univ., Nanjing, China
fYear :
2009
fDate :
17-19 Dec. 2009
Firstpage :
190
Lastpage :
196
Abstract :
RFID (Radio Frequency Identification) is a useful technology for various pervasive applications. And with the widely deployment of RFID tags, RFID based locating and tracking applications become more and more popular. However, how to manage huge amount of data produced by RFID Tag Read Events (TREs) has become a challenge. This paper proposes a Tree-based Hierarchy Repository Framework, in which TREs data of different tags is stored in different nodes instead of one central node. This paper also investigates the host node selection problem, and proposes Exclusively Host Selection (EHS) Algorithm to choose a suitable node to store the related TREs data, through which the data transmission load will be effectively reduced. Finally, the experiment results show that this framework is an effective approach to store RFID data.
Keywords :
data communication; radiofrequency identification; trees (mathematics); ubiquitous computing; RFID Tag Read Events; RFID data repository; data transmission; exclusively host selection algorithm; host node selection problem; pervasive applications; radio frequency identification; tree-based hierarchy repository framework; Application software; Computer science; Data communication; Laboratories; Memory; Network servers; Pervasive computing; RFID tags; Radiofrequency identification; Telecommunication traffic; RFID; distributed data repository; hierarchy framework; ubiquitous computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontier of Computer Science and Technology, 2009. FCST '09. Fourth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3932-4
Electronic_ISBN :
978-1-4244-5467-9
Type :
conf
DOI :
10.1109/FCST.2009.34
Filename :
5392919
Link To Document :
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