NDLI: Optimal RFID networks scheduling using genetic algorithm and swarm intelligence

Content Provider	IEEE Xplore Digital Library
Author	Chiu Chui-Yu Ke Cheng-Hsin Chen, K.Y.
Copyright Year	2009
Description	Author affiliation: Industrial Engineering and Management Department National Taipei University of Technology Taipei, Taiwan, R.O.C. (Ke Cheng-Hsin) \|\| Industrial Engineering and Management Department, National Taipei University of Technology, Taipei, Taiwan, R.O.C. (Chiu Chui-Yu; Chen, K.Y.)
Abstract	RFID is an emerging technique for identifying items and all kinds of real world applications. Multi RFID readers are implemented to the product line in many industries and they consist of varied reader resources. But there are some defects with the disposition of the RFID-based application. The phenomenon of incorrect negative reads occurs in a multi-tag and multi-reader environment where a tag that is present is not detected. Collisions occurring between readers cause the faulty or missing reads. The stopgap is to solve the frequency allocation problem for networks of RFID readers. Furthermore, finding the optimal structure of readers and scheduling the readers to reduce the total system transaction time or response time are both challenging problems. In the presence of interdependencies, the optimal scheduling problem to minimize the overall transaction or response time is modeled as a graph partitioning problem (GPP). GPP is a well known NP-complete problem. The more readers exist in the product line, the higher complexity of the problem. Designing a schedule having the maximum parallelism reduces the total transaction time but may not minimize it. In this research, we integrate genetic algorithms with binary particle swarm optimization (GA-BPSO) to solve the Multi RFID networks scheduling problem. Simulation results on a real-world problem show that the GA-BPSO algorithm provides robust solution quality and is suitable for scheduling large scale RFID reader networks.
Starting Page	1201
Ending Page	1208
File Size	386063
Page Count	8
File Format	PDF
ISBN	9781424427932
ISSN	1062922X
DOI	10.1109/ICSMC.2009.5345890
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radiofrequency identification Genetic algorithms Particle swarm optimization Optimal scheduling Job shop scheduling Delay Radio spectrum management Time factors NP-complete problem Scheduling algorithm GA-BPSO networks of RFID readers scheduling
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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