A Taxonomy for RFID

Hassan, Tamir; Chatterjee, Samir

doi:10.1109/hicss.2006.32

Cited by 76 publications

(40 citation statements)

References 3 publications

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“…RFID systems can be classified in two main categories in accordance with their usage: monitoring and authorizing [3]. The first class includes RFID systems where tags are attached in an inseparable way to the items they identify.…”

Section: The Rfid Technologymentioning

confidence: 99%

RFID tags: Positioning principles and localization techniques

Bouet

Santos

2008

2008 1st IFIP Wireless Days

295

126

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Abstract-RFID is an automatic identification technology that enables tracking of people and objects. Both identity and location are generally key information for indoor services. An obvious and interesting method to obtain these two types of data is to localize RFID tags attached to devices or objects or carried by people. However, signals in indoor environments are generally harshly impaired and tags have very limited capabilities which pose many challenges for positioning them. In this work, we propose a classification and survey the current state-of-art of RFID localization by first presenting this technology and positioning principles. Then, we explain and classify RFID localization techniques. Finally, we discuss future trends in this domain.

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Section: The Rfid Technologymentioning

confidence: 99%

RFID tags: Positioning principles and localization techniques

Bouet

Santos

2008

2008 1st IFIP Wireless Days

295

126

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“…The advantages of active RFID tags include longer working range, higher data bandwidth, automatically determining the best communication path, and stable performance within crowded environments [10].…”

Section: Related Workmentioning

confidence: 99%

VIRE: Active RFID-based Localization Using Virtual Reference Elimination

Zhao

Liu

2007

2007 International Conference on Parallel Processing (ICPP 2007)

221

137

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“…A retail strategy consulting company estimates Wal-Mart could generate as much as 7.7 million terabytes of data per day if all its items are tagged [5], [6]. The problem is exacerbated by the error prone nature of the RFID generated data [7]- [10] and it's asynchronos flow in the system [11]. Further, applications involving such data are typically time sensitive (for example, real-time forecasting and inventory control) [12].…”

Section: Introductionmentioning

confidence: 99%

Load shedding based resource management techniques for RFID data

Ahmed

Ramachandran

2009

2009 IEEE International Conference on RFID

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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.

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A Taxonomy for RFID

Cited by 76 publications

References 3 publications

RFID tags: Positioning principles and localization techniques

RFID tags: Positioning principles and localization techniques

VIRE: Active RFID-based Localization Using Virtual Reference Elimination

Load shedding based resource management techniques for RFID data

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