Anti-collision algorithm with the aid of interference cancellation and tag set partitioning in radio-frequency identification systems

Tseng, Der-Feng; Lin, Zhi-Chien

doi:10.1049/iet-com:20070524

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…By considering the three different topologies of tag distribution, Figure 9(a), Figure 9(b), and Figure 9(c) compares the number of frames used in a reader between the proposed DPA and a previous work SPSC [21], which divides the tags into 4 (SPSC-4) and 10 (SPSC-10) groups, respectively. As it can be observed, although SPSC-4 spends only 5 frames to read 10 tags, the proposed DPA spends the fewest frames to read tags increasing from 20 to 60, no matter which tag distribution is applied.…”

Section: Simulation and Discussionmentioning

confidence: 99%

“…Su, et al [20] proposed a method using Chinese remainder theory to divide the tags into several overlapping groups. Finally, Tseng, et al [21] proposed the spread partial-Q slot count (SPSC) algorithm, which divided tags into different sectors based on the receiving power of tags. The authors demonstrated that a reader using SPSC can significantly reduce the collisions when a large number of tags are to be identified.…”

Section: Introductionmentioning

confidence: 99%

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Dynamically Enlarge and Shrink Power Coverage to Speed Up Tag Identification in a RFID System

Sheu¹,

Zhu²

2018

JCC

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In this paper, we present a power adjustment scheme to dynamically enlarge and shrink power coverage to speed up tag identification in an RFID system. By dividing a TDMA frame into time slots, the proposed power adjustment scheme can adaptively increase or decrease the transmission power of a reader. Specifically, due to the contention for a TDMA slot from numerous tags, three states of a slot could exist; they are respectively referred to as successful, collided, and idle states. An adjustment factor based on the three states is designed to dynamically adjust the transmission power of a reader. The design of the adjustment factor considers two different aspects. When the number of idle state far exceeds the number of collided state, the first aspect will enlarge the power such that more tags within the coverage can be concurrently identified. On the other hand, when the number of idle state is much smaller than the number of collided state, the second aspect will shrink the power such that the number of tags within the coverage is significantly reduced. The proposed power adjustment scheme is simulated using NS-3. In the simulation, we design three different topologies which place tags in three distributions, uniform, random, and hotspot. From the simulation results, we demonstrate that the proposed power adjustment scheme can speed up the tag identification and save energy consumption, particularly when a large number of tags are placed in hotspot distribution.

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Section: Simulation and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamically Enlarge and Shrink Power Coverage to Speed Up Tag Identification in a RFID System

Sheu¹,

Zhu²

2018

JCC

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“…Kamineni et al [13] are using the power level information on transponder side to avoid collisions by defined delays according this power level. Other published approaches deal with the avoidance of collisions to increase the performance of the system [14,15].…”

Section: Influence Of Multiple Transponders On the Ptfmentioning

confidence: 99%

Using field strength scaling to save energy in mobile HF-band RFID-systems

et al. 2013

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Radio frequency identification (RFID) is a technology enabling a contactless exchange of data. This technology features the possibility to wirelessly transfer power to the transponder (opponent). HF-RFID is used in mobile devices like smart phones and shows potential for applications like payment, identification, etc. Unfortunately, the needed functionality increases the battery drain of the device. As a countermeasure, power-management techniques are implemented. However, these techniques commonly do not consider the whole system, which also consists of the communication to the transponder, to prevent wasting energy. One cross-system technique of reducing the wasted energy is magnetic field strength scaling, which regulates the power transfer to the transponder. This article shows three investigations made, regarding field strength scaling to prevent this wastage of energy. The results of one investigation, how to use field strength scaling at card detection phase in form of the PTF-Determinator method, is described in detail. This method determines the Power Transfer Function (PTF) during run-time and scales the provided power accordingly to save energy. As a case study the PTF-Determinator is integrated in an application to read digital business cards. The resulting power consumption and timing has been evaluated by simulation and measurement of a development platform for mobile phones. Furthermore, the impact of field strength scaling to the energy consumption of a state of the art NFC-enhanced smart phone has been analyzed. The results of the case study shows that up to 26% less transmission energy (energy drain of NFC) is needed, if field strength scaling is applied (proofen by measurement). According to this result a smart phone's battery drain (energy drain of the whole system) can be decreased by up to 13% by using field strength scaling for this case study.

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Energy aware improved least and most significant bit arbitration algorithm for WORM tags

Parveen

Khader

Rabbani

2012

Egyptian Informatics Journal

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Anti-collision algorithm with the aid of interference cancellation and tag set partitioning in radio-frequency identification systems

Cited by 4 publications

References 6 publications

Dynamically Enlarge and Shrink Power Coverage to Speed Up Tag Identification in a RFID System

Dynamically Enlarge and Shrink Power Coverage to Speed Up Tag Identification in a RFID System

Using field strength scaling to save energy in mobile HF-band RFID-systems

Energy aware improved least and most significant bit arbitration algorithm for WORM tags

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