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Optimal Solution for RFID Load Balancing

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Recent Trends in Networks and Communications (WeST 2010, VLSI 2010, NeCoM 2010, ASUC 2010, WiMoN 2010)

Abstract

Radio Frequency Identification (RFID) comprises of uniquely identifiable, less expensive tags and readers that monitor these tags through Radio Frequency signals. The information in the tags will be collected with the help of the readers. The load for any reader is the number of tags that the reader has to monitor. For the effectiveness of the RFID system several algorithms like Load Balancing algorithm and Redundant Reader Elimination algorithm were proposed. In these existing schemes the former concentrates on the load of the reader while the latter concentrates on reducing the power consumption by the RFID system. Here in Optimal Solution for RFID load balancing, a solution for optimizing the effectiveness of the RFID system by focusing on two parameters is provided. Load of the reader and Power consumption by the RFID readers are the parameters considered. Here the maximum number of readers that can be switched off without leaving any of the readers overloaded is found out. And also the relocation of the tags from the reader which got overloaded to the least loaded reader in the RFID system increases the overall performance of the RFID system for the same power consumption. A mobile agent, RFID Mobile Agent (RMA) is implemented to collect workload information, from RFID middleware embedded in each RFID reader and execute load balancing strategy for RFID middleware.

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Dhas, V.G., Muthukaruppan, R., Balakrishnan, K., Ganesan, R. (2010). Optimal Solution for RFID Load Balancing. In: Meghanathan, N., Boumerdassi, S., Chaki, N., Nagamalai, D. (eds) Recent Trends in Networks and Communications. WeST VLSI NeCoM ASUC WiMoN 2010 2010 2010 2010 2010. Communications in Computer and Information Science, vol 90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14493-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-14493-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14492-9

  • Online ISBN: 978-3-642-14493-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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