Comparison of energy consumption for reader anti-collision protocols in dense RFID networks

Golsorkhtabaramiri, Mehdi; Issazadehkojidi, Neda; Pouresfehani, Negin; Mohammadialamoti, Maryam; Hosseinzadehsadati, Seyyed Mehrdad

doi:10.1007/s11276-018-1670-y

Cited by 14 publications

(13 citation statements)

References 27 publications

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“…Through RFID technology, inventory is managed in real time, which reduces the processing time and labor (Lee et al , 2004; Rezaie and Golsorkhtabaramiri, 2018). Furthermore, NFC is a specification for contactless short-range communication (Alattar and Achemlal, 2014; Golsorkhtabaramiri et al , 2018). This technology is based on RFID that combines wireless proximity communication with mobile devices (Bueno-Delgado et al , 2012).…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

A model for examining the effect of knowledge sharing and new IT-based technologies on the success of the supply chain management systems

Zeraati¹,

Rajabion

Molavi

et al. 2019

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Purpose This research specifies the factors impacting on the success of supply chain management (SCM) systems in the organizations. This paper aims to assess the effect of knowledge sharing, the vehicular ad hoc network (VANET), radio frequency identification technology (RFID) and near field communications (NFC) and the social capabilities of information technology (IT) and information and communication technology (ICT)on the success of the SCM systems and the simplification of the SCM challenges and other factors affecting its success. Design/methodology/approach A questionnaire is designed for measuring the elements of the proposed model. The questionnaires are revised by experts with experiences in SCM. For statistical analysis, SPSS 24.0 and SMART- PLS (partial least squares) 3.2.6 software package are used. The structural equation modeling (SEM) analysis procedure is conducted in two stages. The reliability analysis and confirmatory factor for analyzing the dimensions and items are included in the first stage. The second stage involves evaluating the assumptions through the SEM. Findings The results have depicted that four variables (knowledge sharing, VANET, RFID and NFC, and the social capabilities of using IT) affect the success of SCM systems. Originality/value This research specifies the factors impacting on the success of SCM in the organizations. These technologies aid companies in improving their performance in the SCM and facilitating coherence and collaboration.

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Section: Research Model and Hypothesesmentioning

confidence: 99%

A model for examining the effect of knowledge sharing and new IT-based technologies on the success of the supply chain management systems

Zeraati¹,

Rajabion

Molavi

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Indeed, the cost of communicating with a central server in order to schedule interrogation activity is high due to the number of beacon exchanges needed. Our current work combined with results obtained in [36] should further guide the choice of a proper anti-collision scheme according to the application and deployment area.…”

Section: F Evaluationmentioning

confidence: 83%

“…Energy efficiency of these protocols should also be studied. In [36], authors evaluate the energy consumption of several RFID anti-collision protocols. Chosen protocols are both TDMA & CSMA, centralized & distributed to cover a wide range of proposals.…”

Section: F Evaluationmentioning

confidence: 99%

A Survey of RFID Readers Anticollision Protocols

Mbacké

Mitton

Rivano

2018

IEEE J. Radio Freq. Identif.

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While RFID technology is gaining increased attention from industrial community deploying different RFID-based applications, it still suffers from reading collisions. As such, many proposals were made by the scientific community to try and alleviate that issue using different techniques either centralized or distributed, monochannel or multichannels, TDMA or CSMA. However, the wide range of solutions and their diversity make it hard to have a clear and fair overview of the different works. This paper surveys the most relevant and recent known state-of-theart anti-collision for RFID protocols. It provides a classification and performance evaluation taking into consideration different criteria as well as a guide to choose the best protocol for given applications depending on their constraints or requirements but also in regard to their deployment environments.

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“…In this paper, we focus on the collision problem due to random deployment, mobility and same-time multiple access. We consider, in this work, tags combined with sensors for a wireless RFID sensor network [17][18][19][20][21][22] and we take healthcare IoT as an application because of the high mobility of tags and readers in such a system [23].…”

Section: Introductionmentioning

confidence: 99%

DMLAR: Distributed Machine Learning-Based Anti-Collision Algorithm for RFID Readers in the Internet of Things

et al. 2022

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Radio Frequency Identification (RFID) is considered as one of the most widely used wireless identification technologies in the Internet of Things. Many application areas require a dense RFID network for efficient deployment and coverage, which causes interference between RFID tags and readers, and reduces the performance of the RFID system. Therefore, communication resource management is required to avoid such problems. In this paper, we propose an anti-collision protocol based on feed-forward Artificial Neural Network methodology for distributed learning between RFID readers to predict collisions and ensure efficient resource allocation (DMLAR) by considering the mobility of tags and readers. The evaluation of our anti-collision protocol is performed for different mobility scenarios in healthcare where the collected data are critical and must respect the terms of throughput, delay, overload, integrity and energy. The dataset created and distributed by the readers allows an efficient learning process and, therefore, a high collision detection to increase throughput and minimize data loss. In the application phase, the readers do not need to exchange control packets with each other to control the resource allocation, which avoids network overload and communication delay. Simulation results show the robustness and effectiveness of the anti-collision protocol by the number of readers and resources used. The model used allows a large number of readers to use the most suitable frequency and time resources for simultaneous and successful tag interrogation.

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Comparison of energy consumption for reader anti-collision protocols in dense RFID networks

Cited by 14 publications

References 27 publications

A model for examining the effect of knowledge sharing and new IT-based technologies on the success of the supply chain management systems

A model for examining the effect of knowledge sharing and new IT-based technologies on the success of the supply chain management systems

A Survey of RFID Readers Anticollision Protocols

DMLAR: Distributed Machine Learning-Based Anti-Collision Algorithm for RFID Readers in the Internet of Things

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