A Feasible Segment-by-Segment ALOHA Algorithm for RFID Systems

Duan, Litian; Zhang, Xueying; Wang, Zizhong John; Fu, Duan

doi:10.1007/s11277-017-4316-y

Cited by 9 publications

(5 citation statements)

References 16 publications

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“…This section evaluates the performance of EASA regarding the energy per tag identified consumed by the reader in one inventory round

and compares it with the anti-collision protocols of the state of the art presented in Section 2.2 : Eom [ 21 ], ILCM-FbF [ 7 ], ILCM-SbS [ 22 ], Chen14 [ 23 ], Chen16 [ 24 ], SSA [ 25 ] and DSSA [ 25 ]. Physical-layer effects are not considered here, assuming a non-impaired channel and no capture effect.…”

Section: Energy Evaluationmentioning

confidence: 99%

“…Physical-layer effects are not considered here, assuming a non-impaired channel and no capture effect. Note that these assumptions are extensively used for the analysis of known anti-collision protocols whose analysis focuses on the media access control layer [ 4 , 21 , 24 , 25 ]. Simulation results were obtained with MATLAB R2017b.…”

Section: Energy Evaluationmentioning

confidence: 99%

“…The Segment-by-Segment Aloha protocol (SSA) was proposed in [ 25 ] to effectively decrease the frame adjustment times with satisfactory throughput. In this protocol, one frame is composed of a set of slot-segments, and each slot-segment is composed of

continuous time slots, where

= 4.…”

Section: Introductionmentioning

confidence: 99%

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Energy-Aware RFID Anti-Collision Protocol

Arjona

Landaluce

Ruiz

2018

Sensors

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The growing interest in mobile devices is transforming wireless identification technologies. Mobile and battery-powered Radio Frequency Identification (RFID) readers, such as hand readers and smart phones, are are becoming increasingly attractive. These RFID readers require energy-efficient anti-collision protocols to minimize the tag collisions and to expand the reader’s battery life. Furthermore, there is an increasing interest in RFID sensor networks with a growing number of RFID sensor tags. Thus, RFID application developers must be mindful of tag anti-collision protocols. Energy-efficient protocols involve a low reader energy consumption per tag. This work presents a thorough study of the reader energy consumption per tag and analyzes the main factor that affects this metric: the frame size update strategy. Using the conclusion of this analysis, the anti-collision protocol Energy-Aware Slotted Aloha (EASA) is presented to decrease the energy consumption per tag. The frame size update strategy of EASA is configured to minimize the energy consumption per tag. As a result, EASA presents an energy-aware frame. The performance of the proposed protocol is evaluated and compared with several state of the art Aloha-based anti-collision protocols based on the current RFID standard. Simulation results show that EASA, with an average of 15 mJ consumed per tag identified, achieves a 6% average improvement in the energy consumption per tag in relation to the strategies of the comparison.

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“…This section evaluates the performance of EASA regarding the energy per tag identified consumed by the reader in one inventory round

Section: Energy Evaluationmentioning

confidence: 99%

Section: Energy Evaluationmentioning

confidence: 99%

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Energy-Aware RFID Anti-Collision Protocol

Arjona

Landaluce

Ruiz

2018

Sensors

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“…Commonly used RFID tag anti-collision algorithms are divided into two categories; one is based on Aloha algorithm, also known as probabilistic algorithm [3]. In the probabilistic algorithm, because the number of free time slots and collision time slots cannot be determined, some tags may not be recognized due to tag starvation.…”

Section: Introductionmentioning

confidence: 99%

Single-Stack Deep-Query Quad-Tree RFID Tag Anti-collision Algorithm

Zhou¹,

Lin-shan²,

Clemen³

2020

IJCTE

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“…Y dependiendo del tipo de colisión, el lector puede ser capaz de detectarla y resolverla. Es precisamente en este punto donde se ha desarrollado gran trabajo en los últimos años mediante aportaciones y empleo de nuevas técnicas a los protocolos anticolisión, con el fin de evitar o minimizar la aparición de este fenómeno (Bagheri, Alenaby, & Safkhani, 2017;Chen, Su, & Yi, 2017;Duan, Zhang, Wang, & Duan, 2017;Huang, Hwang, Lee, & Chung, 2017;Shoufeng, Dongchen, Xiaoyan, Shumeng, & Tinglan, 2014;Su, Sheng, Hong, & Wen, 2016;Wijayasekara et al, 2017;Yong, Qing, Lei, & Hao, 2017). Lo que se traduce en una mejora del funcionamiento del proceso de identificación de etiquetas.…”

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Análisis y caracterización de la frecuencia de enlace por retro-dispersión en sistemas UHF-RFID pasivos

Blanco

García

Cañas

2020

Rev. iberoam. autom. inform. ind.

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La tecnología de identificación por radiofrecuencia (RFID) es clave para la visualización de cada objeto en el marco de la Internet de las Cosas. Y más concretamente, la tecnología pasiva es la más extendida e implantada, ya que un lector puede identificar multitud de etiquetas en un corto periodo de tiempo. Cada etiqueta responde al lector a través de una subportadora denominada Frecuencia de Enlace por Retro-dispersión (Backscatter-Link Frequency, BLF). Con el objetivo de caracterizar este parámetro, en este artículo se emplea un conjunto de pruebas para evaluar la aleatoriedad de valores de BLF medidos y obtenidos de etiquetas comerciales. Los resultados muestran grandes variaciones de este parámetro respecto al primer valor esperado por el lector, así como durante el proceso de comunicación. Este comportamiento puede ser aprovechado como una característica diferenciadora de cada etiqueta y puede emplearse en los procesos de comunicación u otros fines. Consiguiendo, en definitiva, etiquetas pasivas más eficientes.

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A Feasible Segment-by-Segment ALOHA Algorithm for RFID Systems

Cited by 9 publications

References 16 publications

Energy-Aware RFID Anti-Collision Protocol

Energy-Aware RFID Anti-Collision Protocol

Single-Stack Deep-Query Quad-Tree RFID Tag Anti-collision Algorithm

Análisis y caracterización de la frecuencia de enlace por retro-dispersión en sistemas UHF-RFID pasivos

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