Abstract

The current growing demand for low-cost edge devices to bridge the physical–digital divide has triggered the growing scope of Radio Frequency Identification (RFID) technology research. Besides object identification, researchers have also examined the possibility of using RFID tags for low-power wireless sensing, localisation and activity inference. This paper focuses on passive UHF RFID sensing. An RFID system consists of a reader and various numbers of tags, which can incorporate different kinds of sensors. These sensor tags require fast anti-collision protocols to minimise the number of collisions with the other tags sharing the reader’s interrogation zone. Therefore, RFID application developers must be mindful of anti-collision protocols. Dynamic Frame Slotted Aloha (DFSA) anti-collision protocols have been used extensively in the literature because EPCglobal Class 1 Generation 2 (EPC C1G2), which is the current communication protocol standard in RFID, employs this strategy. Protocols under this category are distinguished by their policy for updating the transmission frame size. This paper analyses the frame size update policy of DFSA strategies to survey and classify the main state-of-the-art of DFSA protocols according to their policy. Consequently, this paper proposes a novel policy to lower the time to read one sensor data packet compared to existing strategies. Next, the novel anti-collision protocol Fuzzy Frame Slotted Aloha (FFSA) is presented, which applies this novel DFSA policy. The results of our simulation confirm that FFSA significantly decreases the sensor tag read time for a wide range of tag populations when compared to earlier DFSA protocols thanks to the proposed frame size update policy.

Highlights

  • Radio Frequency Identification (RFID) technology applications focused on item identification, location, and authentication

  • The results of our simulation confirm that Fuzzy Frame Slotted Aloha (FFSA) significantly decreases the sensor tag read time for a wide range of tag populations when compared to earlier Dynamic Frame Slotted Aloha (DFSA) protocols thanks to the proposed frame size update policy

  • RFID has become a crucial element of the Internet of Things (IoT) platform

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Summary

Introduction

Radio Frequency Identification (RFID) technology applications focused on item identification, location, and authentication. We propose a novel frame update policy and the Fuzzy Frame Slotted Aloha (FFSA) protocol, which lower the time required for the reader to receive sensor data packets. Each protocol employs a different frame update strategy to receive the tag EPC and the sensor data, and it will be presented and compared . The major novelty of this paper is that we decrease the average time to receive the EPC and read a sensor data packet from one tag when compared with existing recent DFSA strategies that are compliant with the current standard. We introduce the anti-collision Fuzzy Frame Slotted Aloha (FFSA) protocol, which applies the previous policy to lower the average time to read a sensor data packet from one tag compared with existing recent strategies.

Analysis of Frame Update Policy of Dfsa Protocols
Frame Size Calculation
Frame Size Examination
Frame Break Condition
Related Work
The Proposed Frame Update Policy
The Proposed Fuzzy Frame Slotted Aloha Protocol
Performance Evaluation
Impact of the Number of Tags in S1
Impact of the Tag Backscatter Link Frequency in S2
Discussion
Identified Limitations
Conclusions

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