Radio Frequency Identification(RFID)technology has been widely used to identify missing items.In many applications,rapidly pinpointing key tags that are attached to favorable or valuable items is critical.To realize t...Radio Frequency Identification(RFID)technology has been widely used to identify missing items.In many applications,rapidly pinpointing key tags that are attached to favorable or valuable items is critical.To realize this goal,interference from ordinary tags should be avoided,while key tags should be efficiently verified.Despite many previous studies,how to rapidly and dynamically filter out ordinary tags when the ratio of ordinary tags changes has not been addressed.Moreover,how to efficiently verify missing key tags in groups rather than one by one has not been explored,especially with varying missing rates.In this paper,we propose an Efficient and Robust missing Key tag Identification(ERKI)protocol that consists of a filtering mechanism and a verification mechanism.Specifically,the filtering mechanism adopts the Bloom filter to quickly filter out ordinary tags and uses the labeling vector to optimize the Bloom filter's performance when the key tag ratio is high.Furthermore,the verification mechanism can dynamically verify key tags according to the missing rates,in which an appropriate number of key tags is mapped to a slot and verified at once.Moreover,we theoretically analyze the parameters of the ERKI protocol to minimize its execution time.Extensive numerical results show that ERKI can accelerate the execution time by more than 2.14compared with state-of-the-art solutions.展开更多
As a kind of brand-new technology, radio frequency identification management, data control and acquisition. This paper introduced food safety system construction, analyzed the advantages and problems in dairy modem su...As a kind of brand-new technology, radio frequency identification management, data control and acquisition. This paper introduced food safety system construction, analyzed the advantages and problems in dairy modem suggestions for solution according to the practical situation. (RFID) plays an important role in dairy information tracing and culture function extension of managing breeding technology, and finally put forward some展开更多
Dynamic framed slotted Aloha algorithm is one of popular passive radio frequency identification(RFID) tag anticollision algorithms. In the algorithm, a frame length requires dynamical adjustment to achieve higher iden...Dynamic framed slotted Aloha algorithm is one of popular passive radio frequency identification(RFID) tag anticollision algorithms. In the algorithm, a frame length requires dynamical adjustment to achieve higher identification efficiency.Generally, the adjustment of the frame length is not only related to the number of tags, but also to the occurrence probability of capture effect. Existing algorithms could estimate both the number of tags and the probability of capture effect. Under large-scale RFID tag identification, however, the number of tags would be much larger than an initial frame length. In this scenario, the existing algorithm's estimation errors would substantially increase. In this paper, we propose a novel algorithm called capture-aware Bayesian estimate, which adopts Bayesian rules to accurately estimate the number and the probability simultaneously. From numerical results, the proposed algorithm adapts well to the large-scale RFID tag identification. It has lower estimation errors than the existing algorithms. Further,the identification efficiency from the proposed estimate is also higher than the existing algorithms.展开更多
Blocker tag attack is one of the denial-of-service(DoS)attacks that threatens the privacy and security of RFID systems.The attacker interferes with the blocked tag by simulating a fake tag with the same ID,thus causin...Blocker tag attack is one of the denial-of-service(DoS)attacks that threatens the privacy and security of RFID systems.The attacker interferes with the blocked tag by simulating a fake tag with the same ID,thus causing a collision of message replies.In many practical scenarios,the number of blocked tags may vary,or even be small.For example,the attacker may only block the important customers or high-value items.To avoid the disclosure of privacy and economic losses,it is of great importance to fast pinpoint these blocked ones.However,existing works do not take into account the impact of the number of blocked tags on the execution time and suffer from incomplete identification of blocked tags,long identification time or privacy leakage.To overcome these limits,we propose a cross layer blocked tag identification protocol(CLBI).CLBI consists of multiple rounds,in which it enables multiple unblocked tags to select one time slot and concurrently verify them by using tag estimation in physical layer.Benefiting from the utilization of most collision slots,the execution time can be greatly reduced.Furthermore,for efficient identification of blocked tags under different proportions,we propose a hybrid protocol named adaptive cross layer blocked tag identification protocol(A-CLBI),which estimates the remaining blocked tag in each round and adjusts the identification strategy accordingly.Extensive simulations show that our protocol outperforms state-of-the-art blocked tags identification protocol.展开更多
In this paper, we present a power adjustment scheme to dynamically enlarge and shrink power coverage to speed up tag identification in an RFID system. By dividing a TDMA frame into time slots, the proposed power adjus...In this paper, we present a power adjustment scheme to dynamically enlarge and shrink power coverage to speed up tag identification in an RFID system. By dividing a TDMA frame into time slots, the proposed power adjustment scheme can adaptively increase or decrease the transmission power of a reader. Specifically, due to the contention for a TDMA slot from numerous tags, three states of a slot could exist;they are respectively referred to as successful, collided, and idle states. An adjustment factor based on the three states is designed to dynamically adjust the transmission power of a reader. The design of the adjustment factor considers two different aspects. When the number of idle state far exceeds the number of collided state, the first aspect will enlarge the power such that more tags within the coverage can be concurrently identified. On the other hand, when the number of idle state is much smaller than the number of collided state, the second aspect will shrink the power such that the number of tags within the coverage is significantly reduced. The proposed power adjustment scheme is simulated using NS-3. In the simulation, we design three different topologies which place tags in three distributions, uniform, random, and hotspot. From the simulation results, we demonstrate that the proposed power adjustment scheme can speed up the tag identification and save energy consumption, particularly when a large number of tags are placed in hotspot distribution.展开更多
实验室是衡量高校实验教学水平的关键,也是培养学生综合素质和创新能力的重要场所。随着教学任务的不断增加和实验设备的更新升级,对实验室教学和管理提出了更高的要求。基于无线射频识别(Radio Frequency Identification,RFID)技术的...实验室是衡量高校实验教学水平的关键,也是培养学生综合素质和创新能力的重要场所。随着教学任务的不断增加和实验设备的更新升级,对实验室教学和管理提出了更高的要求。基于无线射频识别(Radio Frequency Identification,RFID)技术的设备管理系统,利用无源标签、门禁设备以及手持读写器构建硬件系统,借助数据库构建软件系统,旨在通过管理系统的构建提升设备管理的效率,为实验室信息化管理水平的提升奠定坚实的基础。展开更多
射频识别(Radio Frequency Identification,RFID)技术作为一种无线通信技术,通过无线电波实现数据的自动识别和跟踪,已广泛应用于商品管理、供应链管理以及门禁控制等领域。随着技术的普及和应用范围的扩大,如何借助RFID技术提升通信数...射频识别(Radio Frequency Identification,RFID)技术作为一种无线通信技术,通过无线电波实现数据的自动识别和跟踪,已广泛应用于商品管理、供应链管理以及门禁控制等领域。随着技术的普及和应用范围的扩大,如何借助RFID技术提升通信数据传输的安全性,防止数据泄露、篡改或非法访问,已成为一个急需解决的问题。文章主要介绍RFID技术的基本原理和不同类型的RFID系统,明确通信数据安全传输的基本要求,包括数据的完整性、机密性以及安全认证等方面。深入探讨RFID技术在通信数据安全传输中的具体应用,包括RFID系统的安全架构设计、加密算法的选择与应用以及认证过程与协议制定,通过采取相应的安全措施,有效提升RFID系统在数据传输过程中的安全性。展开更多
随着物联网、人工智能等技术的飞速发展,基于物联网的“人-机-物”智能感知识别技术成为当前研究的热点方向。在众多的感知识别技术中,射频识别技术(Radio Frequency Identification, RFID)作为物联网的核心技术之一,被广泛应用在物流...随着物联网、人工智能等技术的飞速发展,基于物联网的“人-机-物”智能感知识别技术成为当前研究的热点方向。在众多的感知识别技术中,射频识别技术(Radio Frequency Identification, RFID)作为物联网的核心技术之一,被广泛应用在物流追踪、身份认证和室内定位等各个领域。由于目前广泛使用的个人移动设备并不支持RFID信息读取,限制了RFID技术的大范围应用。针对智能手机不能直接读取RFID标签信息的问题,提出一种利用用户预定义的基于RFID反射信号的手势特征实现面向智能手机和RFID标签之间的跨域互联方法。该方法不需要对部署的RFID系统或智能手机进行任何硬件修改,通过用户在感兴趣标签面前做出手势而产生的RFID相位特征,并与智能手机捕获到的运动传感器数据的相关时间戳进行匹配,从而实现了智能手机与RFID标签的关联配对。最后,通过实验验证了文中提出的跨域互联方法的可行性。展开更多
设计一种基于射频识别(Radio Frequency Identification,RFID)技术的图书馆自助服务系统,以提高图书馆的运作效率和用户体验,实现图书借阅、归还和定位等功能的自动化处理。采用RFID技术作为核心技术,通过将RFID标签粘贴在每本图书上,...设计一种基于射频识别(Radio Frequency Identification,RFID)技术的图书馆自助服务系统,以提高图书馆的运作效率和用户体验,实现图书借阅、归还和定位等功能的自动化处理。采用RFID技术作为核心技术,通过将RFID标签粘贴在每本图书上,并在图书馆各个关键位置安装RFID读写器,实现对图书的无线识别和追踪。经过实际测试和数据分析得出,基于RFID技术的图书馆自助服务系统能够大幅提升图书馆的运作效率和用户体验,自助借阅和归还的速度更快,减少了等待时间。展开更多
Machine Learning has evolved with a variety of algorithms to enable state-of-the-art computer vision applications.In particular the need for automating the process of real-time food item identification,there is a huge...Machine Learning has evolved with a variety of algorithms to enable state-of-the-art computer vision applications.In particular the need for automating the process of real-time food item identification,there is a huge surge of research so as to make smarter refrigerators.According to a survey by the Food and Agriculture Organization of the United Nations(FAO),it has been found that 1.3 billion tons of food is wasted by consumers around the world due to either food spoilage or expiry and a large amount of food is wasted from homes and restaurants itself.Smart refrigerators have been very successful in playing a pivotal role in mitigating this problem of food wastage.But a major issue is the high cost of available smart refrigerators and the lack of accurate design algorithms which can help achieve computer vision in any ordinary refrigerator.To address these issues,this work proposes an automated identification algorithm for computer vision in smart refrigerators using InceptionV3 and MobileNet Convolutional Neural Network(CNN)architectures.The designed module and algorithm have been elaborated in detail and are considerably evaluated for its accuracy using test images on standard fruits and vegetable datasets.A total of eight test cases are considered with accuracy and training time as the performance metric.In the end,real-time testing results are also presented which validates the system’s performance.展开更多
基金This work was supported in part by the National Natural Science Foundation of China under project contracts No.61971113 and 61901095in part by National Key R&D Program under project contract No.2018AAA0103203+5 种基金in part by Guangdong Provincial Research and Development Plan in Key Areas under project contract No.2019B010141001 and 2019B010142001in part by Sichuan Provincial Science and Technology Planning Program under project contracts No.2020YFG0039,No.2021YFG0013 and No.2021YFH0133in part by Ministry of Education China Mobile Fund Program under project contract No.MCM20180104in part by Yibin Science and Technology Program-Key Projects under project contract No.2018ZSF001 and 2019GY001in part by Central University Business Fee Program under project contract No.A03019023801224the Central Universities under Grant ZYGX2019Z022.
文摘Radio Frequency Identification(RFID)technology has been widely used to identify missing items.In many applications,rapidly pinpointing key tags that are attached to favorable or valuable items is critical.To realize this goal,interference from ordinary tags should be avoided,while key tags should be efficiently verified.Despite many previous studies,how to rapidly and dynamically filter out ordinary tags when the ratio of ordinary tags changes has not been addressed.Moreover,how to efficiently verify missing key tags in groups rather than one by one has not been explored,especially with varying missing rates.In this paper,we propose an Efficient and Robust missing Key tag Identification(ERKI)protocol that consists of a filtering mechanism and a verification mechanism.Specifically,the filtering mechanism adopts the Bloom filter to quickly filter out ordinary tags and uses the labeling vector to optimize the Bloom filter's performance when the key tag ratio is high.Furthermore,the verification mechanism can dynamically verify key tags according to the missing rates,in which an appropriate number of key tags is mapped to a slot and verified at once.Moreover,we theoretically analyze the parameters of the ERKI protocol to minimize its execution time.Extensive numerical results show that ERKI can accelerate the execution time by more than 2.14compared with state-of-the-art solutions.
基金Supported by the Project of the National "948" (2006-Z12)
文摘As a kind of brand-new technology, radio frequency identification management, data control and acquisition. This paper introduced food safety system construction, analyzed the advantages and problems in dairy modem suggestions for solution according to the practical situation. (RFID) plays an important role in dairy information tracing and culture function extension of managing breeding technology, and finally put forward some
基金supported in part by the National Natural Science Foundation of China(61762093)the 17th Batch of Young and Middle-aged Leaders in Academic and Technical Reserved Talents Project of Yunnan Province(2014HB019)the Program for Innovative Research Team(in Science and Technology)in University of Yunnan Province
文摘Dynamic framed slotted Aloha algorithm is one of popular passive radio frequency identification(RFID) tag anticollision algorithms. In the algorithm, a frame length requires dynamical adjustment to achieve higher identification efficiency.Generally, the adjustment of the frame length is not only related to the number of tags, but also to the occurrence probability of capture effect. Existing algorithms could estimate both the number of tags and the probability of capture effect. Under large-scale RFID tag identification, however, the number of tags would be much larger than an initial frame length. In this scenario, the existing algorithm's estimation errors would substantially increase. In this paper, we propose a novel algorithm called capture-aware Bayesian estimate, which adopts Bayesian rules to accurately estimate the number and the probability simultaneously. From numerical results, the proposed algorithm adapts well to the large-scale RFID tag identification. It has lower estimation errors than the existing algorithms. Further,the identification efficiency from the proposed estimate is also higher than the existing algorithms.
基金This work was supported in part by the National Natural Science Foundation of China under project contracts Nos.61701082,61701116,61601093,61971113 and 61901095in part by National Key R&D Program under project Nos.2018YFB1802102 and 2018AAA0103203+3 种基金in part by Guangdong Provincial Research and Development Plan in Key Areas under project contract Nos.2019B010141001 and 2019B010142001in part by Sichuan Provincial Science and Technology Planning Program under project contracts Nos.2018HH0034,2019YFG0418,2019YFG0120 and 2018JY0246in part by the fundamental research funds for the Central Universities under project contract No.ZYGX2016J004in part by Science and Technology on Electronic Information Control Laboratory.
文摘Blocker tag attack is one of the denial-of-service(DoS)attacks that threatens the privacy and security of RFID systems.The attacker interferes with the blocked tag by simulating a fake tag with the same ID,thus causing a collision of message replies.In many practical scenarios,the number of blocked tags may vary,or even be small.For example,the attacker may only block the important customers or high-value items.To avoid the disclosure of privacy and economic losses,it is of great importance to fast pinpoint these blocked ones.However,existing works do not take into account the impact of the number of blocked tags on the execution time and suffer from incomplete identification of blocked tags,long identification time or privacy leakage.To overcome these limits,we propose a cross layer blocked tag identification protocol(CLBI).CLBI consists of multiple rounds,in which it enables multiple unblocked tags to select one time slot and concurrently verify them by using tag estimation in physical layer.Benefiting from the utilization of most collision slots,the execution time can be greatly reduced.Furthermore,for efficient identification of blocked tags under different proportions,we propose a hybrid protocol named adaptive cross layer blocked tag identification protocol(A-CLBI),which estimates the remaining blocked tag in each round and adjusts the identification strategy accordingly.Extensive simulations show that our protocol outperforms state-of-the-art blocked tags identification protocol.
文摘In this paper, we present a power adjustment scheme to dynamically enlarge and shrink power coverage to speed up tag identification in an RFID system. By dividing a TDMA frame into time slots, the proposed power adjustment scheme can adaptively increase or decrease the transmission power of a reader. Specifically, due to the contention for a TDMA slot from numerous tags, three states of a slot could exist;they are respectively referred to as successful, collided, and idle states. An adjustment factor based on the three states is designed to dynamically adjust the transmission power of a reader. The design of the adjustment factor considers two different aspects. When the number of idle state far exceeds the number of collided state, the first aspect will enlarge the power such that more tags within the coverage can be concurrently identified. On the other hand, when the number of idle state is much smaller than the number of collided state, the second aspect will shrink the power such that the number of tags within the coverage is significantly reduced. The proposed power adjustment scheme is simulated using NS-3. In the simulation, we design three different topologies which place tags in three distributions, uniform, random, and hotspot. From the simulation results, we demonstrate that the proposed power adjustment scheme can speed up the tag identification and save energy consumption, particularly when a large number of tags are placed in hotspot distribution.
文摘实验室是衡量高校实验教学水平的关键,也是培养学生综合素质和创新能力的重要场所。随着教学任务的不断增加和实验设备的更新升级,对实验室教学和管理提出了更高的要求。基于无线射频识别(Radio Frequency Identification,RFID)技术的设备管理系统,利用无源标签、门禁设备以及手持读写器构建硬件系统,借助数据库构建软件系统,旨在通过管理系统的构建提升设备管理的效率,为实验室信息化管理水平的提升奠定坚实的基础。
文摘射频识别(Radio Frequency Identification,RFID)技术作为一种无线通信技术,通过无线电波实现数据的自动识别和跟踪,已广泛应用于商品管理、供应链管理以及门禁控制等领域。随着技术的普及和应用范围的扩大,如何借助RFID技术提升通信数据传输的安全性,防止数据泄露、篡改或非法访问,已成为一个急需解决的问题。文章主要介绍RFID技术的基本原理和不同类型的RFID系统,明确通信数据安全传输的基本要求,包括数据的完整性、机密性以及安全认证等方面。深入探讨RFID技术在通信数据安全传输中的具体应用,包括RFID系统的安全架构设计、加密算法的选择与应用以及认证过程与协议制定,通过采取相应的安全措施,有效提升RFID系统在数据传输过程中的安全性。
文摘随着物联网、人工智能等技术的飞速发展,基于物联网的“人-机-物”智能感知识别技术成为当前研究的热点方向。在众多的感知识别技术中,射频识别技术(Radio Frequency Identification, RFID)作为物联网的核心技术之一,被广泛应用在物流追踪、身份认证和室内定位等各个领域。由于目前广泛使用的个人移动设备并不支持RFID信息读取,限制了RFID技术的大范围应用。针对智能手机不能直接读取RFID标签信息的问题,提出一种利用用户预定义的基于RFID反射信号的手势特征实现面向智能手机和RFID标签之间的跨域互联方法。该方法不需要对部署的RFID系统或智能手机进行任何硬件修改,通过用户在感兴趣标签面前做出手势而产生的RFID相位特征,并与智能手机捕获到的运动传感器数据的相关时间戳进行匹配,从而实现了智能手机与RFID标签的关联配对。最后,通过实验验证了文中提出的跨域互联方法的可行性。
文摘设计一种基于射频识别(Radio Frequency Identification,RFID)技术的图书馆自助服务系统,以提高图书馆的运作效率和用户体验,实现图书借阅、归还和定位等功能的自动化处理。采用RFID技术作为核心技术,通过将RFID标签粘贴在每本图书上,并在图书馆各个关键位置安装RFID读写器,实现对图书的无线识别和追踪。经过实际测试和数据分析得出,基于RFID技术的图书馆自助服务系统能够大幅提升图书馆的运作效率和用户体验,自助借阅和归还的速度更快,减少了等待时间。
基金This work was supported by Taif University Researchers Supporting Project(TURSP)under number(TURSP-2020/10),Taif University,Taif,Saudi Arabia.
文摘Machine Learning has evolved with a variety of algorithms to enable state-of-the-art computer vision applications.In particular the need for automating the process of real-time food item identification,there is a huge surge of research so as to make smarter refrigerators.According to a survey by the Food and Agriculture Organization of the United Nations(FAO),it has been found that 1.3 billion tons of food is wasted by consumers around the world due to either food spoilage or expiry and a large amount of food is wasted from homes and restaurants itself.Smart refrigerators have been very successful in playing a pivotal role in mitigating this problem of food wastage.But a major issue is the high cost of available smart refrigerators and the lack of accurate design algorithms which can help achieve computer vision in any ordinary refrigerator.To address these issues,this work proposes an automated identification algorithm for computer vision in smart refrigerators using InceptionV3 and MobileNet Convolutional Neural Network(CNN)architectures.The designed module and algorithm have been elaborated in detail and are considerably evaluated for its accuracy using test images on standard fruits and vegetable datasets.A total of eight test cases are considered with accuracy and training time as the performance metric.In the end,real-time testing results are also presented which validates the system’s performance.