NDLI: Energy Efficient Tag Estimation Method for ALOHA-Based RFID Systems

Content Provider	IEEE Xplore Digital Library
Author	Šolić, P. Radić, J. Rožić, N.
Copyright Year	2001
Abstract	Radio frequency identification (RFID) technology has become an important tool for items identification and tracking. Its rapid deployment in dynamic industry areas enables variety of new applications in behavioral analysis and processes automation. In such systems it is crucial to identify all RFID tags before they leave the interrogation area. To accomplish fast identification, it is necessary to estimate a number of tags which are in the reader interrogation area. In this paper, we revisit the problem of tag quantity estimate and adapting frame size of dynamic frame slotted ALOHA widely used as RFID medium access control mechanism. The main disadvantage in the implementation of the state-of-the-art estimation algorithms includes the number of required computations, along with the temporary storage of large numbers which appear before estimation. As a consequence, such algorithms are energy inefficient and may require specific computer architecture to support the calculus. In order to address stated issues, we present improved linearized combinatorial model algorithm for optimal frame size selection which, due to linear property of the estimator, allows significant reduction in the estimate computation with acceptable tradeoff in accuracy. Simulations analyze the required number of slots to identify tag population and the floating point operation costs required to compute estimate. In addition, to emphasize the importance of reducing computational cost, we give a case study which compares energy consumed by the mobile RFID reader processor to compute the estimate and its energy equivalent of the required radio front-end energy to identify tags.
Sponsorship	IEEE Sensors Council
Starting Page	3637
Ending Page	3647
Page Count	11
File Size	3630233
File Format	PDF
ISSN	1530437X
Volume Number	14
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radiofrequency identification Throughput Algorithm design and analysis Batteries Estimation Computational modeling energy efficient methods Dynamic frame slotted ALOHA (DFSA) tag estimate method optimal frame size selection
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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