Efficient and robust missing key tag identification for large-scale RFID systems

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.

基于RFID技术的公共交通自动到站播报系统设计

随着城市公共交通的迅速发展,如何提升乘客乘车的体验与提高交通系统的管理效率变得愈发重要。本文研究基于射频识别技术(RFID),设计智能化的公共交通自动到站播报系统,经过需求分析、架构设计及硬件和软件实现等步骤,助力创建出一个高效可靠的自动到站播报系统。该系统能够准确实时定位车辆并触发到站播报,让乘客出行变得更加便捷,并有利于将整个公共交通体系推向更高程度的智能化阶段。

Application of Radio Frequency Identification (RFID) in Dairy Information Management

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

Capture-aware Bayesian RFID Tag Estimate for Large-scale Identification

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.

A Cross Layer Protocol for Fast Identification of Blocked Tags in Large-Scale RFID Systems

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.

RFID技术在食品智能包装和供应链追溯中的应用研究

目的介绍RFID技术,综述其在智能包装、食品供应链追溯的应用进展,以期为RFID技术的发展提供一定的理论基础。方法阐述RFID系统的组成、分类、工作原理及该技术的优点;分析RFID技术在监测食品包装内温度、湿度、pH、气体含量等参数的应用潜力;综述RFID技术在整个食品供应链(生产、加工、储运和销售环节)中的追溯进展;讨论目前RFID技术在实际应用中面临的问题和今后的发展方向。结论通过全面综述RFID技术在智能包装、食品溯源等方面的应用,表明RFID技术在食品领域具有广泛的应用前景,这对食品质量控制具有重要的意义。

基于RFID的人体姿态识别方法研究

人体姿态感知是未来智能护理场景的主要挑战之一。然而,视觉技术会涉及遮挡、光线条件、侵犯隐私等问题;可穿戴运动跟踪设备会增加人体负担,降低舒适性。针对以上问题,提出了一种基于射频识别(RFID)的方法进行全肢体姿态估计,能够有效克服遮挡、穿戴舒适性差等问题。首先基于相位差信息提出了一种细粒度肢体运动模型,通过构建似然函数来进行人体关节角度估计;引入正运动学构建多肢体联合运动模型,结合双天线融合算法进行三维关节角度估计;最后结合人体骨骼模型与肢体关节角度来重建人体姿态。实验结果以Kinect 2.0为标准,测得的四肢平均关节角度误差约为6°,平均关节位置误差约为4cm,表明该系统可以有效地实时监测全肢体姿态。

基于RFID的笼内小鼠定位跟踪系统设计

常见的定位技术用于笼内小鼠跟踪准确度不高。为提高笼内小鼠定位准确性,提出了一种基于射频识别(RFID)技术的笼内小鼠定位跟踪和行为分析系统,通过放置在饲养笼下方的RFID读写器天线阵列板实现定位跟踪,上位机软件可实时显示小鼠的活动轨迹图以便科研人员对小鼠进行行为分析。通过模拟实验和生物实验,该系统可准确定位4×6阵列中小鼠位置,定位准确率可达95%以上,其中,组成阵列的单元格尺寸仅为45 mm×45 mm。

Dynamically Enlarge and Shrink Power Coverage to Speed Up Tag Identification in an RFID System

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.

基于切比雪夫混沌映射和PUF的RFID三方认证协议

针对射频识别(RFID)三方认证协议存在的安全需求和资源开销的平衡问题,利用切比雪夫多项式的半群性质以及混沌性质提出了一个基于切比雪夫混沌映射和物理不可克隆函数(PUF)的RFID三方认证协议:使用切比雪夫混沌映射来实现标签、阅读器和服务器三方共享秘密;使用随机数实现协议每轮会话的新鲜性以抵抗重放攻击,同时也实现了阅读器与标签的匿名性;使用PUF函数实现标签本身的安全认证以及抵抗物理克隆攻击。安全分析表明,该协议能有效抵抗追踪、重放、物理克隆和去同步攻击等多种恶意攻击,使用BAN逻辑分析方法和Scyther工具验证了其安全性。与近期协议对比分析表明,该协议弥补了同类RFID协议的安全缺陷,在满足各种安全属性需求的同时尽量平衡硬件开销,契合了RFID硬件资源受限的处境,适用于RFID三方认证场景。

RFID射频技术在物流教学中的运用

RFID射频技术在物流教学中的运用正逐渐受到广泛关注和研究。其作为一种自动识别和追踪技术,具有高效、精确、实时等特点,为物流管理提供了全新的解决方案。在物流教学中引入RFID射频技术可以帮助学生更好地了解与应用物流管理的知识和技术。因此,文章针对RFID射频技术在物流教学中的应用展开研究,以期在教学内容、教学方法和教学模式改革等方面为相关人员提供参考。

RFID技术在广播电台数字音频系统中的应用研究

射频识别(Radio Frequency Identification,RFID)技术利用电磁场自动识别和跟踪附着在物体上的标签。该技术分为被动RFID和主动RFID,前者不含电池,通过读取器提供的电磁波激活,后者则含有电池,能主动发送信号。基于此,深入探讨RFID技术在广播电台数字音频系统中的应用,包括音频跟踪、管理及自动化,并通过具体案例分析展示其优化广播运作流程的潜力。

RFID技术在集装箱自动化堆场中的应用

集装箱自动化堆场对入场作业车辆信息的准确识别是堆场作业顺利运行的前提。为此,引入无线射频识别技术(RFID)组建自动化堆场车辆识别系统,车辆识别系统由箱区通道识别系统、轨道吊识别系统和软件系统组成,通过读卡系统、触发系统以及处理器等其他系统的配合,实现作业过程中车辆信息自动识别。实际运行测试显示,自动化集装箱堆场车辆信息整体识别准确率可达98%以上。

RFID 技术在实验室信息化管理中的运用分析

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。

RFID技术在通信数据安全传输中的应用研究

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。

基于RFID管理实验室设备实施的关键问题研究

随着高校仪器设备数量的不断增加,智能、高效、数字化、网络化的管理实验室和实验设备已经成为现代化高校的发展趋势。主要考虑使用射频识别(RFID)技术来管理实验设备,实现对仪器设备的批量识别,更加智能高效地管理实验室。重点分析了实施过程中的几个关键技术问题:距离和频率的选择、有源/无源标签的选择、天线的选择、仪器为金属材质的问题、标签冲突防碰撞问题和价钱费用问题,以及附加定位问题等,为高校引入RFID技术管理实验室设备提供了关键技术选择、技术分析和应用。

植入安全工器具RFID标签的无线性能测试分析

电力安全工器具植入射频识别(RFID)标签后具有无线通信、定位、感知、数据交互、工作票联动等功能。针对RFID标签植入工器具后无线通信性能将受工器具材质等因素的影响而下降开展研究:首先,分析了RFID的传输特性与主要性能指标;然后,采用HFSS电磁仿真软件建立植入工器具RFID标签的仿真模型,研究植入深度与材料的介电常数对RFID标签信号传输性能的影响;最后,搭建RFID性能测试平台,测试不同介电常数与植入深度的读取距离以及输入匹配参数和谐振频率,并对不同测试距离的信噪比和接收信号强度指示(RSSI)进行测试。研究表明,RFID标签的植入深度与材质的介电常数将影响RFID的性能,植入工器具的RFID芯片传输距离将减小。

超高频无源RFID室内定位设计

室内定位有多种方案,如蓝牙到达角度(Angle of Arrival,AOA)、Wi-Fi、接收信号强度指示(Received Signal Strength Indication,RSSI)及超宽带(Ultra Wide Band,UWB)等。在多目标定位、低成本、低功耗场景下,超高频无源射频识别(Radio Frequency Identification,RFID)具有显著优势。为实现室内多物品快速定位,将超高频无源RFID技术与相控阵技术相融合,建立一套室内定位系统。

基于RFID技术的光伏电站变压器故障检测研究

为提升光伏电站变压器的运行可靠性,文章提出一种基于射频识别(Radio Frequency Identification,RFID)技术的故障检测系统。该系统通过集成RFID标签与多种传感器,实时监测变压器的温度、振动及油质等状态参数,并利用改进的支持向量机(Support Vector Machine,SVM)模型进行故障检测。实验结果表明,相较于基于传统反向传播(Back Propagation,BP)神经网络模型的故障检测系统,该系统能更准确、高效地识别变压器潜在故障,为光伏电站的安全稳定运行提供了有力的技术支持。

基于RFID技术的电力通信运维系统设计研究

射频识别(Radio Frequency Identification,RFID)技术是一种用无线电波进行数据采集和识别的技术,广泛应用于各类自动化系统。电力通信运维系统作为保障电力通信网络稳定性和可靠性的关键环节,急需引入优秀技术以提高其运维效率和智能化水平。文章通过RFID技术与电力通信运维系统的深度融合,从总体架构设计、RFID模块设计、网络拓扑管理设计及运行监视管理设计等方面进行系统性研究。结合实验测试,验证了该系统在故障检测、定位及修复中的显著优势。