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To minimize tag collisions, RFID readers must use an anti-collision protocol. Different types of .Action Date Notes Link; article xml file uploaded: 1 August 2018 15:01 CEST: .Application of RFID to Soil-Erosion Research. Previous Article in Journal. .We would like to show you a description here but the site won’t allow us.
ANTI-COLLISION. The various types of RFID anti-collision methods can be reduced to two .
To minimize tag collisions, RFID readers must use an anti-collision protocol. Different types of anti-collision protocols have been proposed in the literature in order to solve this problem. This paper provides an update including some of the most relevant anti-collision protocols.
ANTI-COLLISION. The various types of RFID anti-collision methods can be reduced to two basic types: deterministic and probabilistic. An example of deterministic is binary tree algorithm or tree walking algorithm. An example of probabilistic is the ALOHA anti-collision algorithm.
The literature proposes an RFID anti-collision algorithm, kg-DFSA, that equips the reader with prior information on accurate tag estimates. Using the improved k-means machine learning technique, this paper enhances the DFSA algorithm of the EPC C1G2 protocol with more intelligence in a manner that it uses the prior estimate of tags to predict . This paper presents a review of the most known RFID reader anti-collision protocols. It describes how reader collisions can occur in a dense deployment and the operating algorithms, which developed to mitigate it. Then, these algorithms are compared and discussed based on evaluation parameters to identify how they perform on different parameters.
In multi-reader Radio Frequency Identification (RFID) systems, there may be some interference between readers when they operate at the same time. This is called a reader collision, and it can result in incorrect tag identification. Scholars have proposed many anti . I will explain the basic concept of anti-collision here, and then point you to some information that goes into more depth. Readers can not talk to two tags simultaneously. Rather, they must isolate a single tag, communicate with it and then move to the next one.
Based on the technical framework of NFRA, this paper proposes an RFID reader anti-collision protocol with adaptive interrogation capacity (NFRA-AIC). The main contribution is that the interrogation time of a reader is determined .
To address these problems, this paper proposes a new RFID anti-collision algorithm, Dynamic Frame Slotted ALOHA based on Tag Grouping and Long Short Term Memory (D-G-MFSA), by integrating LSTM into the existing ALOHA algorithm.Active tags can provide anti-collision by using various combinations of some methods including time scope and frequency scope. When the number of tags is large, for the conventional RFID anti-collision algorithm, the number of slots required to read the tags increases exponentially as the number of tags does. Fair Reader Collision Avoidance (FRCA) protocol is a centralized protocol based on the TDMA and FDMA methods, which FRCA1 presented to reduce the reader-to-reader collision and FRCA2 introduced to decrease reader-to-tag collision.
To minimize tag collisions, RFID readers must use an anti-collision protocol. Different types of anti-collision protocols have been proposed in the literature in order to solve this problem. This paper provides an update including some of the most relevant anti-collision protocols.ANTI-COLLISION. The various types of RFID anti-collision methods can be reduced to two basic types: deterministic and probabilistic. An example of deterministic is binary tree algorithm or tree walking algorithm. An example of probabilistic is the ALOHA anti-collision algorithm. The literature proposes an RFID anti-collision algorithm, kg-DFSA, that equips the reader with prior information on accurate tag estimates. Using the improved k-means machine learning technique, this paper enhances the DFSA algorithm of the EPC C1G2 protocol with more intelligence in a manner that it uses the prior estimate of tags to predict .
This paper presents a review of the most known RFID reader anti-collision protocols. It describes how reader collisions can occur in a dense deployment and the operating algorithms, which developed to mitigate it. Then, these algorithms are compared and discussed based on evaluation parameters to identify how they perform on different parameters.In multi-reader Radio Frequency Identification (RFID) systems, there may be some interference between readers when they operate at the same time. This is called a reader collision, and it can result in incorrect tag identification. Scholars have proposed many anti . I will explain the basic concept of anti-collision here, and then point you to some information that goes into more depth. Readers can not talk to two tags simultaneously. Rather, they must isolate a single tag, communicate with it and then move to the next one. Based on the technical framework of NFRA, this paper proposes an RFID reader anti-collision protocol with adaptive interrogation capacity (NFRA-AIC). The main contribution is that the interrogation time of a reader is determined .
To address these problems, this paper proposes a new RFID anti-collision algorithm, Dynamic Frame Slotted ALOHA based on Tag Grouping and Long Short Term Memory (D-G-MFSA), by integrating LSTM into the existing ALOHA algorithm.Active tags can provide anti-collision by using various combinations of some methods including time scope and frequency scope. When the number of tags is large, for the conventional RFID anti-collision algorithm, the number of slots required to read the tags increases exponentially as the number of tags does.
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