DocumentCode :
2486955
Title :
RASPberry: A stable reader activation scheduling protocol in multi-reader RFID systems
Author :
Shaojie Tang ; Jing Yuan ; Xiang-Yang Li ; Guihai Chen ; Yunhao Liu ; Jizhong Zhao
Author_Institution :
Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL, USA
fYear :
2009
fDate :
13-16 Oct. 2009
Firstpage :
304
Lastpage :
313
Abstract :
Recent technological advances have motivated large-scale deployment of RFID systems. RFID readers are often static and carefully deployed in a planned manner. However, the distribution and movements of tags are often dynamically changed and unpredictable. We study a challenging problem of scheduling the activation of the readers without collision such that the system can work in a stable way in the long term. Here a schedule is stable if at any time slot, the number of total unread tags is bounded from above with high probability under this scheduling. In this paper, we propose a stable reader activation scheduling protocol, RASPberry, in multi-reader RFID systems. We analytically prove that our scheduling protocol, RASPberry, is stable if the arrival rate of tags is less than the processing rate of all readers. In RASPberry, at any time slot, a reader can determine its status using only information of readers within a local neighborhood. To the best of our knowledge, this is the first work to address the stability problem of reader activation scheduling in RFID systems. Our extensive simulations show that our system performs very well.
Keywords :
protocols; radiofrequency identification; scheduling; RASPberry; multireader RFID systems; reader activation scheduling protocol; tag arrival rate; Access protocols; Computer science; Dynamic scheduling; Processor scheduling; Radiofrequency identification; Scheduling algorithm; Security; Stability; Throughput; RFID; graph; reader; scheduling; stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Protocols, 2009. ICNP 2009. 17th IEEE International Conference on
Conference_Location :
Princeton, NJ
ISSN :
1092-1648
Print_ISBN :
978-1-4244-4635-3
Type :
conf
DOI :
10.1109/ICNP.2009.5339672
Filename :
5339672
Link To Document :
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