Pub Date : 2024-01-19DOI: 10.1109/JRFID.2024.3356194
Zhiyang Chen;Hongwei Jiang;Jiapeng You;Xin Wang;Poly Z. H. Sun
With the deepening exploration of Industry 4.0, smart factories are gradually replacing traditional factories with rapid momentum. In smart factories, a large number of digitally networked devices are deployed in a less-populated or even unmanned environment. Data security and fast access have become particularly important due to the automation and intelligence of production. As the environment of smart factories becomes increasingly complex, meeting the requirements for rapid authentication has become increasingly difficult for traditional authentication systems. In this study, a lightweight blockchain-based radio-frequency identification (RFID) identity authentication mechanism is proposed for smart factories represented by the medical device manufacturing industry by integrating blockchain and RFID technologies. Through bitwise operations, cyclic shift operation, and hash arithmetic, the proposed mechanism cannot only guarantee security between the RFID reader and the electronic tag but also requires less communication and storage to complete authentication. Thus, this mechanism is suitable for the environment of medical device manufacturing factories with a high-load operation of equipment. It helps further research on the data security of smart factories.
随着工业 4.0 探索的不断深入,智能工厂正以迅猛的势头逐步取代传统工厂。在智能工厂中,大量数字化联网设备被部署在人迹罕至甚至无人的环境中。由于生产的自动化和智能化,数据安全和快速访问变得尤为重要。随着智能工厂的环境变得越来越复杂,传统的身份验证系统越来越难以满足快速身份验证的要求。本研究通过整合区块链和射频识别(RFID)技术,为以医疗器械制造业为代表的智能工厂提出了一种基于区块链的轻量级射频识别(RFID)身份认证机制。通过比特运算、循环移位运算和哈希运算,所提出的机制不仅能保证 RFID 阅读器和电子标签之间的安全性,而且只需较少的通信和存储就能完成身份验证。因此,该机制适用于医疗器械制造工厂设备高负荷运行的环境。它有助于进一步研究智能工厂的数据安全问题。
{"title":"RFID Lightweight Authentication Mechanism for Smart Factories Based on Blockchain","authors":"Zhiyang Chen;Hongwei Jiang;Jiapeng You;Xin Wang;Poly Z. H. Sun","doi":"10.1109/JRFID.2024.3356194","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3356194","url":null,"abstract":"With the deepening exploration of Industry 4.0, smart factories are gradually replacing traditional factories with rapid momentum. In smart factories, a large number of digitally networked devices are deployed in a less-populated or even unmanned environment. Data security and fast access have become particularly important due to the automation and intelligence of production. As the environment of smart factories becomes increasingly complex, meeting the requirements for rapid authentication has become increasingly difficult for traditional authentication systems. In this study, a lightweight blockchain-based radio-frequency identification (RFID) identity authentication mechanism is proposed for smart factories represented by the medical device manufacturing industry by integrating blockchain and RFID technologies. Through bitwise operations, cyclic shift operation, and hash arithmetic, the proposed mechanism cannot only guarantee security between the RFID reader and the electronic tag but also requires less communication and storage to complete authentication. Thus, this mechanism is suitable for the environment of medical device manufacturing factories with a high-load operation of equipment. It helps further research on the data security of smart factories.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"19-30"},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139732021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-17DOI: 10.1109/JRFID.2024.3355214
Ruhua Zhao;Junjie Yang;Xue Li;Hong Mo
The inaccuracy of modeling information and external disturbance bring great challenges to the control of robot manipulators. In the paper, an adaptive control strategy of robot manipulators with model uncertainty is presented by synthesizing variable universe fuzzy control (VUFC) and the sliding-mode control (SMC). The strong robustness of SMC overcomes the interference of uncertainty to the system,but brings the problem of chattering. In order to effectively alleviate chattering which is easy to occur in traditional SMC, the VUFC technology is adopted to improve the switching control and designs a dynamic variable switching control portion, which suppress the chattering significantly. Then, a suitable adaptive law is given, and the stability of the system is analyzed by utilizing Lyapunov theorem, which ensure that the system error can converge to near zero. Finally, the comparison results show that this control strategy possesses a better performance than SMC and the fuzzy SMC, which can continuously and stably achieve tracking control.
{"title":"Adaptive Variable Universe Fuzzy Sliding-Mode Control for Robot Manipulators With Model Uncertainty","authors":"Ruhua Zhao;Junjie Yang;Xue Li;Hong Mo","doi":"10.1109/JRFID.2024.3355214","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3355214","url":null,"abstract":"The inaccuracy of modeling information and external disturbance bring great challenges to the control of robot manipulators. In the paper, an adaptive control strategy of robot manipulators with model uncertainty is presented by synthesizing variable universe fuzzy control (VUFC) and the sliding-mode control (SMC). The strong robustness of SMC overcomes the interference of uncertainty to the system,but brings the problem of chattering. In order to effectively alleviate chattering which is easy to occur in traditional SMC, the VUFC technology is adopted to improve the switching control and designs a dynamic variable switching control portion, which suppress the chattering significantly. Then, a suitable adaptive law is given, and the stability of the system is analyzed by utilizing Lyapunov theorem, which ensure that the system error can converge to near zero. Finally, the comparison results show that this control strategy possesses a better performance than SMC and the fuzzy SMC, which can continuously and stably achieve tracking control.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"658-664"},"PeriodicalIF":2.3,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141965983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-17DOI: 10.1109/JRFID.2024.3355298
Yi Li;Conghui Hao;Yupei Xie;Shuangshuang Han
In the era of rapid development of vehicular ad hoc networks (VANETs), ensuring the reliability and security of vehicle-to-vehicle communication has become a top priority. This paper comprehensively analyzes the performance of various signal detection algorithms in different scenarios. To intelligently choose different signal detection algorithms in the context of VANETs, the study covers diverse scenarios such as urban environments, rural areas, highways, parking lots, and mountainous regions, aiming to capture subtle variations in the performance of different signal detection algorithms across these scenarios. The paper employs strict performance metrics, such as bit error rate and algorithmic complexity, to quantify and compare the performance of different signal detection algorithms. The focus is on the role of signal detection algorithms in achieving parallel intelligence in VANETs, including the simultaneous processing of signals from multiple vehicles to enhance overall network efficiency and reliability. This research holds significance by providing insights into the strengths and limitations of signal detection algorithms in VANETs, guiding their development for efficient and accurate performance, thereby contributing to academic understanding and informing decision-making in the automotive industry and intelligent transportation systems.
在车载 ad hoc 网络(VANET)飞速发展的时代,确保车对车通信的可靠性和安全性已成为当务之急。本文全面分析了各种信号检测算法在不同场景下的性能。为了在 VANET 中智能地选择不同的信号检测算法,研究涵盖了城市环境、农村地区、高速公路、停车场和山区等不同场景,旨在捕捉不同信号检测算法在这些场景中性能的细微差别。论文采用严格的性能指标,如误码率和算法复杂度,来量化和比较不同信号检测算法的性能。重点是信号检测算法在实现 VANET 并行智能方面的作用,包括同时处理来自多辆车的信号,以提高整体网络效率和可靠性。这项研究的重要意义在于深入探讨了 VANET 中信号检测算法的优势和局限性,为开发高效、准确的信号检测算法提供了指导,从而有助于汽车行业和智能交通系统的学术理解和决策参考。
{"title":"Computational Experiments and Comparative Analysis of Signal Detection Algorithms in Vehicular Ad Hoc Networks","authors":"Yi Li;Conghui Hao;Yupei Xie;Shuangshuang Han","doi":"10.1109/JRFID.2024.3355298","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3355298","url":null,"abstract":"In the era of rapid development of vehicular ad hoc networks (VANETs), ensuring the reliability and security of vehicle-to-vehicle communication has become a top priority. This paper comprehensively analyzes the performance of various signal detection algorithms in different scenarios. To intelligently choose different signal detection algorithms in the context of VANETs, the study covers diverse scenarios such as urban environments, rural areas, highways, parking lots, and mountainous regions, aiming to capture subtle variations in the performance of different signal detection algorithms across these scenarios. The paper employs strict performance metrics, such as bit error rate and algorithmic complexity, to quantify and compare the performance of different signal detection algorithms. The focus is on the role of signal detection algorithms in achieving parallel intelligence in VANETs, including the simultaneous processing of signals from multiple vehicles to enhance overall network efficiency and reliability. This research holds significance by providing insights into the strengths and limitations of signal detection algorithms in VANETs, guiding their development for efficient and accurate performance, thereby contributing to academic understanding and informing decision-making in the automotive industry and intelligent transportation systems.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"402-411"},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140924702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-16DOI: 10.1109/JRFID.2024.3354515
Amit Birwal;Kamlesh Patel;Sanjeev Singh
The paper presents a new design for a mobile 2.45-GHz passive Radio Frequency Identification (RFID) reader, featuring a compact, broadband, and circularly polarized antenna. The antenna proposed consists of two stacked square patches separated by an air gap for a wide-band impedance bandwidth. The antenna is printed on a double-sided 1.6 mm FR4 substrate with an overall dimension of $65times 65times 11.27$