A Partitioning Approach to RFID Identification

Su, Jian; Liu, Alex X.; Sheng, Zhengguo; Chen, Yongrui

doi:10.1109/tnet.2020.3004852

Cited by 41 publications

(35 citation statements)

References 38 publications

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“…To address tag collisions, a large number of anticollision protocols have been proposed, which can be divided into probabilistic [9][10][11][12][13][14], deterministic [15][16][17][18], and hybrid algorithms. The probabilistic algorithms are essentially based on the ALOHA protocol.…”

Section: Introductionmentioning

confidence: 99%

A Fast Hybrid Strategy‐Based RFID Tag Identification Protocol

Wang

2021

Wireless Communications and Mobile Computing

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Tag collision is one of the critical problems in radiofrequency identification (RFID) technology which can be widely used to identify objects using tag attachment automatically. Through the transmission and reflection of wireless radiofrequency signals, noncontact identification is realized. However, when multiple tags respond to the reader simultaneously, a collision occurs, significantly degrading the identification performance of RFID systems. To tackle the tag collisions, we propose a fast hybrid strategy-based RFID anticollision (FHS-RAC) protocol. Based on the conventional query tree algorithm, the proposed FHS-RAC makes full use of collision bits and the total response bits to achieve the faster tag identification. Extensive simulations and experiments verify the feasibility and effectiveness of our proposed scheme.

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Section: Introductionmentioning

confidence: 99%

A Fast Hybrid Strategy‐Based RFID Tag Identification Protocol

Wang

2021

Wireless Communications and Mobile Computing

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“…These articles focus on the improvement of ALOHA-based algorithm [1][2][3][4][5][6], and the basic idea behind this kind of algorithm is that the reader estimates the number of tags according to the collision, success, and idle time slots first and then adjusts the frame length dynamically based on the estimation results. When the number of tags is equal to the number of time slots, the ALOHA-based algorithm can achieve the highest throughput rate of 36.8%.…”

Section: Introductionmentioning

confidence: 99%

Time Slot Detection‐Based M‐ary Tree Anticollision Identification Protocol for RFID Tags in the Internet of Things

Yang

et al. 2021

Wireless Communications and Mobile Computing

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Recently, a number of articles have proposed query tree algorithms based on bit tracking to solve the multitag collision problem in radio frequency identification systems. However, these algorithms still have problems such as idle slots and redundant prefixes. In this paper, a time slot detection-based M -ary tree (Time Slot Detection based M -ary tree, TSDM) tag anticollision algorithm has been proposed. When a collision occurs, the reader sends a predetection command to detect the distribution of the m -bit ID in the 2m subslots; then, the time slot after predetection is processed according to the format of the frame-like. The idle time slots have been eliminate through the detection. Using a frame-like mode, only the frame start command carries parameters, and the other time slot start commands do not carry any parameters, thereby reducing the communication of each interaction. Firstly, the research status of the anticollision algorithm is summarized, and then the TSDM algorithm is explained in detail. Finally, through theoretical analysis and simulation, it is proved that the time cost of the TSDM algorithm proposed in this paper is reduced by 12.57%, the energy cost is reduced by 12.65%, and the key performance outperforms the other anticollision algorithms.

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“…Passive defense measures cannot provide perfect security guarantee for WSN. It is necessary to provide a proactive defense technology [3]. Intrusion detection system (IDS) is one of the effective active defense technologies [4].…”

Section: Introductionmentioning

confidence: 99%

SLGBM: An Intrusion Detection Mechanism for Wireless Sensor Networks in Smart Environments

Jiang

Zhao

2020

IEEE Access

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Wireless sensor network (WSN), which serves as one of the key components of the cyber physical system, is a wireless network composed of many stationary or moving sensors in a self-organizing and multi-hop manner. It cooperatively senses, collects, processes and transmits the information of the perceived objects in the geographical area covered by the network, and finally sends this information to the owner of the network. There are some typical attacks in WSN, such as Blackhole, Grayhole, Flooding and Scheduling attacks, which may cause damages to the WSN system in a short time. Moreover, intrusion detection methods for WSN suffer from the disadvantages of low detection rate, large calculation overhead, and high false alarm rate due to the limited resources of sensor nodes and a large amount of redundancy as well as high correlation of network data. In view of the above problems, we propose SLGBM, an intrusion detection method for wireless sensor networks. First, the sequence backward selection (SBS) algorithm is applied to reduce the data dimension on the feature space of the original traffic data so as to reduce the computational overhead. A LightGBM algorithm is then utilized to detect different network attacks. The experimental results based on the WSN-DS dataset show that F-measure of our proposed SLGBM are obviously superior to current typical detection methods, which are 99.8%, 99.4%, 99.1%, 96.5%, and 96.1% in Normal, Blackhole, Grayhole, Flooding, and Scheduling (TDMA) attack detections respectively.

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A Partitioning Approach to RFID Identification

Cited by 41 publications

References 38 publications

A Fast Hybrid Strategy‐Based RFID Tag Identification Protocol

A Fast Hybrid Strategy‐Based RFID Tag Identification Protocol

Time Slot Detection‐Based M‐ary Tree Anticollision Identification Protocol for RFID Tags in the Internet of Things

SLGBM: An Intrusion Detection Mechanism for Wireless Sensor Networks in Smart Environments

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