NDLI: Load shedding based resource management techniques for RFID data

Content Provider	IEEE Xplore Digital Library
Author	Ahmed, N. Ramachandran, U.
Copyright Year	2009
Description	Author affiliation: College of Computing, Georgia Institute of Technology, Atlanta, 30332-0250, USA (Ahmed, N.; Ramachandran, U.)
Abstract	RFID based systems are enjoying widespread adoption in a variety of application scenarios. Item tracking in a supply chain environment is one such application. From an application perspective, there are two challenges: (a) the data rates for large deployments are growing significantly; (b) the demands placed on the system for query processing in real time are also on the rise. Meeting these challenges in large-scale deployments is non trivial. The hardware base for RFID based systems compound these challenges due to the fact that RFID readers are error-prone and reliable reading of RFID tags is hampered by a number of physical limitations such as environmental conditions, and contents of the items carrying the tags. Naturally, the reliability of these systems become even more questionable when both the data rates increase and the need for real time processing of queries increases. We propose load shedding mechanisms that use the spatial and temporal properties of RFID deployments to combat the challenges due to increased demands for tag and query processing in real time. These mechanisms are piggy-backed on top of a middleware Reliable Framework for Radio Frequency IDentification $(RF^{2}ID)that$ uses redundancy to improve the reliability of RFID deployment. The basic idea in $RF^{2}ID$ is to use the spatial notion of a path taken by items flowing from source to destination. By cumulatively aggregating the tags collected by entities called Virtual Readers (VR) that are placed along the path, the total reliability of the system is enhanced. The VRs cooperatively shed the load under heavy load conditions. The built-in redundancy in the $RF^{2}ID$ system allows the VRs to shed load with reasonable system performance thus enhancing the overall reliability of the deployment. Two different load shedding strategies are proposed in the literature: space based approach and time based approach. These strategies have been implemented in the $RF^{2}ID$ middleware and performance results show the efficacy of these mechanisms for dealing with increased data rates.
Starting Page	306
Ending Page	313
File Size	558315
Page Count	8
File Format	PDF
ISBN	9781424433377
DOI	10.1109/RFID.2009.4911168
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Real time systems Query processing Redundancy Supply chains Hardware Large-scale systems Resource management RFID tags Radiofrequency identification
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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