In wireless sensor networks, sensing tags are battery powered, which also limits the battery life. Therefore, it is particularly important to study self powered sensing tags. At present, passive wireless identificatio...
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In wireless sensor networks, sensing tags are battery powered, which also limits the battery life. Therefore, it is particularly important to study self powered sensing tags. At present, passive wireless identification systems can achieve self powered communication through tags. However, wireless power supply sensing systems have problems such as low efficiency and short communication distance. To reduce the power consumption of sensing tags and improve the efficiency of sensing systems, a passive wireless low-power hydrogen concentration sensing system is designed. To further reduce the power consumption of sensing tags, a passive wireless magnetic field intensity sensing system is developed. In addition, to solve the low efficiency of multiple sensing labels in wireless power supply sensing systems, an efficient anti-collision algorithm based on dynamic binary query trees is designed. According to the research results, in the cold start indoor environment, the energy collection rate of the sensing tag designed in the research was 0.081mJ/s, and the energy collection efficiency was 25.7%. In single/dual sensor mode, the maximum values of sensing error were 2.1% and 5.2%, respectively. The maximum recognition time of the anti-collision algorithm based on dynamic multi base query tree was 2.78s, and the minimum value was 1.31s. The research results can provide methodological and technical support for the improvement of wireless power supply sensing systems, expanding the application range of wireless power supply sensing systems.
This paper proposes a fast tag anti-collision algorithm called the Improved collision Tree algorithm (ICT). ICT is an improved technique based on collision Tree algorithm (CD, it inherits the essence of CT that both t...
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ISBN:
(数字)9781665458641
ISBN:
(纸本)9781665458641
This paper proposes a fast tag anti-collision algorithm called the Improved collision Tree algorithm (ICT). ICT is an improved technique based on collision Tree algorithm (CD, it inherits the essence of CT that both the generating of prefixes and the splitting of tag group are according to the first collided bit. Furthermore, for fast tag identification, ICT uses a pointer and a counter in each tag to memorize the query history of the reader, thus the reader does not need to transmit the whole query preftx. The simulation results show that ICT outperforms CT in scenarios where tag IDs have some common prefix.
The work aims at the problem of multi-tag collision in RFID system, then analysis the binary tree algorithm and ALOHA and points out their shortcomings, we proposed a Hybrid of ALOHA and Tree (HAMT) algorithm. The alg...
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The work aims at the problem of multi-tag collision in RFID system, then analysis the binary tree algorithm and ALOHA and points out their shortcomings, we proposed a Hybrid of ALOHA and Tree (HAMT) algorithm. The algorithm first uses the DFSA algorithm for tag identification, and dynamically selects the multi-fork tree algorithm for tag identification based on the number of unidentified tags secondly, thus ensuring that the tag is 100% identified, and improves recognition efficiency and shortens recognition time. The results of the simulation show that when the number of tags is about 1000, the recognition efficiency of the HAMT algorithm can reach around 0.72. So the HAMT algorithm can solve the multi-tag collision problem. (C) 2021 The Authors. Published by Elsevier B.V.
Nowadays, identification through radio frequency systems (RFID) has been employed in many applications such as supply chain management, banking, toll payment, theft prevention, E-health and so on. One of the main chal...
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Nowadays, identification through radio frequency systems (RFID) has been employed in many applications such as supply chain management, banking, toll payment, theft prevention, E-health and so on. One of the main challenges in RFID systems is the tag's collision problem in collision slot. Up to now, to solve RFID tag's collision issue, many anti-collision algorithms have been proposed. However, most of them don't have high efficiency and are not able to identify tags in collision slot. In this paper, we propose a new anti-collision algorithm based on ALOHA called CNCAA which uses both collided and non-collided parts of information in collision slots for tag's identification. To the best of our knowledge, all of the anti-collision algorithms until now either use the collided part of information or the non-collided part of information in collision slot. Based on our simulation results, the system efficiency of the proposed algorithm has a significant difference compared to other anti-collision algorithms and improves it. The system efficiency of the CNCAA is 1.04 at best when the frame length is half of the number of tags which has improved by at least 20% compared to existing anti-collision algorithms.
The work aims at the problem of multi-tag collision in RFID system, then analysis the binary tree algorithm and ALOHA and points out their shortcomings, we proposed a Hybrid of ALOHA and Tree (HAMT) algorithm. The alg...
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The work aims at the problem of multi-tag collision in RFID system, then analysis the binary tree algorithm and ALOHA and points out their shortcomings, we proposed a Hybrid of ALOHA and Tree (HAMT) algorithm. The algorithm first uses the DFSA algorithm for tag identification, and dynamically selects the multi-fork tree algorithm for tag identification based on the number of unidentified tags secondly, thus ensuring that the tag is 100% identified, and improves recognition efficiency and shortens recognition time. The results of the simulation show that when the number of tags is about 1000, the recognition efficiency of the HAMT algorithm can reach around 0.72. So the HAMT algorithm can solve the multi-tag collision problem.
In order to further decrease the probability of the collision and reduce communication complexity, a new low complexity anti-collision algorithm for RFID is proposed using Query Tree. The proposed algorithm can reduce...
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In order to further decrease the probability of the collision and reduce communication complexity, a new low complexity anti-collision algorithm for RFID is proposed using Query Tree. The proposed algorithm can reduce the probability of collision and the traffic of data communication by using tag grouping and setting rules, respectively. The simulation results show that the proposed scheme consumes fewer slots and has lower communication complexity.
To address the problems of high computational complexity, inflexible frame length adjustment, and sub-optimal system efficiency of the RFID tag anti-collision algorithms in the Internet-of-Things systems, a low-comple...
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To address the problems of high computational complexity, inflexible frame length adjustment, and sub-optimal system efficiency of the RFID tag anti-collision algorithms in the Internet-of-Things systems, a low-complexity, and universal fast RFID tag anti-collision algorithm is proposed in this paper. A faster and less-complex tag number estimation method depends less on computing and storage resources, making it easier to integrate into the Internet of Things. Using the concepts of sub-frame and system efficiency priority, after each sub-frame is identified, the number of tags is estimated quickly and the frame length is adjusted dynamically to ensure the algorithm's efficiency. Moreover, the proposed algorithm is fully compatible with the EPC Class-1 Generation-2 standard, which ensures its universality and compatibility with the existing systems. The simulation results show that the proposed algorithm can achieve a system efficiency of 0.3554, a time efficiency of 0.7851, and an identification speed of 433 n/s. Compared with the standard Q algorithm, the performance is improved by 9.691%, 5.002%, and 8.250%, respectively. It is, hence, demonstrated that the proposed algorithm meets the requirements for the rapid identification of the RFID tags in the Internet-of-Things applications.
Food safety issues are frequent in today's society, and how to accurately and accurately track food is an urgent problem to be solved. In the information age of the Internet of Things (IOT), the "connected ob...
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ISBN:
(纸本)9781728118468
Food safety issues are frequent in today's society, and how to accurately and accurately track food is an urgent problem to be solved. In the information age of the Internet of Things (IOT), the "connected objects" feature allows food to provide detailed information from the production to the sales process, tracking the processing flow of each link, and when the food quality and safety issues arise, it can be accurate. Quickly find the source of food and related product flows, effectively prevent problem foods from entering the market, and let consumers eat safe food. This thesis mainly studies the multi-tag recognition collision avoidance in the Internet of Things technology, and improves the multi-fork tree anti-collision algorithm. By introducing the slot idea in the ALOHA algorithm, a dual-slot dynamic search algorithm (GMT) is proposed. Simulation experiments show that the algorithm effectively reduces the time spent on RFID tags recognition, reduces the number of collisions of tags, and reduces the energy consumption of the system. It is an effective anti-collision algorithm.
Internet of Things is involved in all aspects of human life, work, health and social areas, which will have a significant impact on the future development of the global economic society. Perception and recognition tec...
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Internet of Things is involved in all aspects of human life, work, health and social areas, which will have a significant impact on the future development of the global economic society. Perception and recognition technology is the basis of the Internet of things, and data fusion and anti-collision technology are the sensor network and radio frequency identification research focus. This paper focuses on the key technology of the sensing layer of the internet of things, that is, the data fusion of the sensor network and the multi-label anti-collision technology of the radio frequency identification system, which mainly includes the following work. This paper introduces the hierarchical architecture of the Internet of things and its key technologies, and introduces the sensing and recognition technology of the internet of things, and expatiates the data fusion model and routing algorithm of the sensor network and the working principle and anti-collision problem of the RFID system. The improved clustering routing protocol Leach based on distributed data fusion effectively prolongs the lifetime of the sensor network. A data fusion algorithm based on Gauss membership function has introduced, and the fusion technology and routing technology have combined to process the data, which improves the efficiency and accuracy of data acquisition in Sensor Networks. An efficient binary search anti-collision algorithm called AEBS, with unknown tag number estimation, which has proposed to recognize unknown tags in the range of reader's function. Theoretical analysis and experimental simulation results show that the AEBS algorithm improves the efficiency and stability of the system identification and reduces the recognition time of the whole system. (C) 2018 Elsevier B.V. All rights reserved.
This paper studies a novel anti-collision algorithm that is proposed in view of the problem, i.e., label reading collision in radio-frequency identification for Internet of Things. Based on the theoretical foundation ...
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This paper studies a novel anti-collision algorithm that is proposed in view of the problem, i.e., label reading collision in radio-frequency identification for Internet of Things. Based on the theoretical foundation of label grouping, the algorithm introduces the Mahalanobis distance and density function to traditional fuzzy C-means clustering grouping algorithm by using EPC code and effectively solves the problem of isolated points of clustering and the optimization problem of initial clustering center. Then, the algorithm realizes effective grouping of labels and distributing identification serial numbers to labels upon the distance from interior labels to the center of clustering. Meanwhile, the efficiency of algorithm can be improved through dynamically setting the frame slot time of readers upon the grouping condition to prevent collision. This paper analyzes the throughput rate theoretically in detail. The simulation results of throughput capacity, throughout rate, and slot efficiency of the algorithm manifest that the algorithm is superior to the most commonly used dynamic binary-tree algorithm and current dynamic ALOHA algorithm in performance.
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