Federated Learning on Internet of Things:Extensive and Systematic Review

The proliferation of IoT devices requires innovative approaches to gaining insights while preserving privacy and resources amid unprecedented data generation.However,FL development for IoT is still in its infancy and needs to be explored in various areas to understand the key challenges for deployment in real-world scenarios.The paper systematically reviewed the available literature using the PRISMA guiding principle.The study aims to provide a detailed overview of the increasing use of FL in IoT networks,including the architecture and challenges.A systematic review approach is used to collect,categorize and analyze FL-IoT-based articles.Asearch was performed in the IEEE,Elsevier,Arxiv,ACM,and WOS databases and 92 articles were finally examined.Inclusion measures were published in English and with the keywords“FL”and“IoT”.The methodology begins with an overview of recent advances in FL and the IoT,followed by a discussion of how these two technologies can be integrated.To be more specific,we examine and evaluate the capabilities of FL by talking about communication protocols,frameworks and architecture.We then present a comprehensive analysis of the use of FL in a number of key IoT applications,including smart healthcare,smart transportation,smart cities,smart industry,smart finance,and smart agriculture.The key findings from this analysis of FL IoT services and applications are also presented.Finally,we performed a comparative analysis with FL IID(independent and identical data)and non-ID,traditional centralized deep learning(DL)approaches.We concluded that FL has better performance,especially in terms of privacy protection and resource utilization.FL is excellent for preserving privacy becausemodel training takes place on individual devices or edge nodes,eliminating the need for centralized data aggregation,which poses significant privacy risks.To facilitate development in this rapidly evolving field,the insights presented are intended to help practitioners and researchers navigate the complex terrain of FL and IoT.

A Novel Secure Data Transmission Scheme in Industrial Internet of Things

The industrial Internet of Things(IoT)is a trend of factory development and a basic condition of intelligent factory.It is very important to ensure the security of data transmission in industrial IoT.Applying a new chaotic secure communication scheme to address the security problem of data transmission is the main contribution of this paper.The scheme is proposed and studied based on the synchronization of different-structure fractional-order chaotic systems with different order.The Lyapunov stability theory is used to prove the synchronization between the fractional-order drive system and the response system.The encryption and decryption process of the main data signals is implemented by using the n-shift encryption principle.We calculate and analyze the key space of the scheme.Numerical simulations are introduced to show the effectiveness of theoretical approach we proposed.

An Open Architecture for Converged Internet of Things

An open architecture for converged Internet of Things (IoT) is proposed in this paper.By using this model,the various and huge amount of data can be converted into converged data and then encapsulated as service packages.Moreover,a Representational State Transfer (REST) platform has been implemented in the lab environment.The merit of this architecture is the enhancement of data efficiency.Experimental results are provided to show the benefits of the proposed architecture.

UAV-Aided Data and Energy Integrated Network: System Design and Prototype Development

Terminal devices deployed in outdoor environments are facing a thorny problem of power supply.Data and energy integrated network(DEIN)is a promising technology to solve the problem,which simultaneously transfers data and energy through radio frequency signals.State-of-the-art researches mostly focus on theoretical aspects.By contrast,we provide a complete design and implementation of a fully functioning DEIN system with the support of an unmanned aerial vehicle(UAV).The UAV can be dispatched to areas of interest to remotely recharge batteryless terminals,while collecting essential information from them.Then,the UAV uploads the information to remote base stations.Our system verifies the feasibility of the DEIN in practical applications.

Data Aggregation-based Transmission Method in Ultra-Dense Wireless Networks

As the Internet of Things(IoT)advances,machine-type devices are densely deployed and massive networks such as ultra-dense networks(UDNs)are formed.Various devices attend to the network to transmit data using machine-type communication(MTC),whereby numerous,various are generated.MTC devices generally have resource constraints and use wireless communication.In this kind of network,data aggregation is a key function to provide transmission efficiency.It can reduce the number of transmitted data in the network,and this leads to energy saving and reducing transmission delays.In order to effectively operate data aggregation in UDNs,it is important to select an aggregation point well.The total number of transmitted data may vary,depending on the aggregation point to which the data are delivered.Therefore,in this paper,we propose a novel data aggregation scheme to select the appropriate aggregation point and describe the data transmission method applying the proposed aggregation scheme.In addition,we evaluate the proposed scheme with extensive computer simulations.Better performances in the proposed scheme are achieved compared to the conventional approach.

Securing Healthcare Data in IoMT Network Using Enhanced Chaos Based Substitution and Diffusion

Patient privacy and data protection have been crucial concerns in Ehealthcare systems for many years.In modern-day applications,patient data usually holds clinical imagery,records,and other medical details.Lately,the Internet of Medical Things(IoMT),equipped with cloud computing,has come out to be a beneficial paradigm in the healthcare field.However,the openness of networks and systems leads to security threats and illegal access.Therefore,reliable,fast,and robust security methods need to be developed to ensure the safe exchange of healthcare data generated from various image sensing and other IoMT-driven devices in the IoMT network.This paper presents an image protection scheme for healthcare applications to protect patients’medical image data exchanged in IoMT networks.The proposed security scheme depends on an enhanced 2D discrete chaotic map and allows dynamic substitution based on an optimized highly-nonlinear S-box and diffusion to gain an excellent security performance.The optimized S-box has an excellent nonlinearity score of 112.The new image protection scheme is efficient enough to exhibit correlation values less than 0.0022,entropy values higher than 7.999,and NPCR values around 99.6%.To reveal the efficacy of the scheme,several comparison studies are presented.These comparison studies reveal that the novel protection scheme is robust,efficient,and capable of securing healthcare imagery in IoMT systems.

一种基于物联网的冷水机组数据采集监控系统

针对冷水机组的采集监控需求,设计了一套基于物联网的冷水机组数据采集监控系统。该系统通过专用物联网传输模块DTU(Data Transfer Unit)完成对冷水机组数据的实时采集和控制。采集到的冷水机组数据通过物联网数据传输单元DTU移动通信网,远程上传到云端控制中心,控制中心的软件实现了对冷水机组的数据采集监测和远程控制指令的下发。该系统实现了冷水机组的远程监测和控制,降低了系统运营成本,提高了系统工作效率和自动化水平。

哺乳母猪智能饲喂物联网系统设计

【目的】设计哺乳母猪智能饲喂物联网系统,以实现哺乳母猪饲喂状况远程监控。【方法】系统通过Netty传输自定义TCP通信协议,实现与终端设备的数据传输和指令应答功能。采用SpringBoot与Vue前后端分离架构,开展人机交互界面设计,包括猪场生产情况详情界面、母猪饲喂信息查询界面和统计数据下载界面。【结果】试验结果表明,在3000个连接数下,系统平均响应时间为0.33 s,单位时间内处理数据量范围在750~1180条,系统在加入自定义业务线程池后,单位时间处理数据量增加了250条,处理量提高了31%。【结论】该系统满足了对哺乳舍智能饲喂设备的连接管理和数据处理的实际应用需求。

油田管输交接计量系统的设计与应用

针对华北油田管输交接计量人为操作繁琐、劳动强度大、自动化程度低等问题,依托双转子流量计、射频式含水在线分析仪、科里奥利密度计等在线计量设备、用于计算计量数据的计量单元及已建的油气生产物联网系统,设计了一种油田管输交接计量系统。该系统包括数据采集端、数据处理端、数据传输端及服务器端四部分,数据采集端为各类计量设备,用于采集来液的体积流量、含水率、混液工况下密度、温度、压力;数据处理端为计量单元,用于计算来液中的油、水比例和纯油量;数据传输端依托于已建的油气生产物联网系统进行数据传输;服务器端包括计量数据存储及展示。基于B/S架构及Spring Boot后台框架,开发了油田管输交接计量软件,可实现计量数据实时展示、计量数据分析、计量凭证及外输交接报表自动生成等功能。现场应用表明,该系统可以实现油田管输交接数据的采集、存储、传输全过程自动化和集中调控,与人工取样化验计量对比,年纯油量的相对误差为0.3%以内,可满足贸易交接要求,应用于8个交接站点,减少交接计量人员21人,降低了劳动强度,推动了油田地面系统的发展,提升了原油交接管理水平。

基于REST架构的湖泊环境监测物联网平台

针对呼伦湖环境监测系统监测点不足、复杂度高、可扩展性差等问题,提出基于表述性状态传递架构的湖泊环境监测物联网平台。将传感器节点和节点状态数据抽象成资源,其简洁高效、松耦合的特点可满足湖泊环境监测的要求。使用阿里云服务器ECS搭建开发环境,借助Laravel框架和轻量级j Query前端框架,实现用户管理、地理信息系统、数据实时显示、历史数据查询功能。该平台可满足渔牧业、科研单位、政府部门的要求,实现呼伦湖环境监测数据共享。

基于数据传输成功率的光纤传感器物联网节点部署研究

合理部署光纤传感器物联网节点,可以提升物联网感知效果,解决物联网节点覆盖死角问题,延长其使用寿命,为此研究基于数据传输成功率的光纤传感器物联网节点部署方法。利用证据理论融合数据传输感知概率模型中光纤传感器物联网节点附近区域的综合感知概率;依据综合感知概率构建光纤传感器物联网节点区域覆盖模型,获取节点覆盖强度;利用萤火虫群算法移动覆盖强度即荧光素浓度较小的节点,计算其移动概率,判断其移动方向,最终完成部署;通过混合机制优化萤火虫群算法,提升部署性能。实验证明:所研究方法可有效部署光纤传感器物联网节点,且分布均匀;可以有效缩短节点移动距离,降低能耗;平均数据传输成功率与节点覆盖率高达99.6%与100%。

一种面向移动智能设备的物联网中间件服务模型

描述了一种面向移动智能设备的物联网中间件服务模型,系统架构由传感网接口层、设备服务层、数据传输层和安卓资源层组成。该模型通过建立与无线传感器网络异构设备的通信接口,封装感知设备提供的状态监测和远程控制功能,向移动端开放统一的物联网接入服务,实现物联网应用带有共性的技术环节,为移动智能设备面向物联网的二次开发提供便利。已有的应用案例证明了服务模型的可靠性、实用性和技术共性,可以有效提升物联网不同行业应用开发的效率。

基于区域时变聚类采样机制的物联网大数据传输算法

为解决传统物联网大数据传输算法存在的网络链路抖动频繁、传输能力受限以及传输误码率大的不足,提出了一种基于区域时变聚类采样机制的物联网大数据传输算法。首先,根据物联网信号发射中常用的LTE-5G信号特性,采取分信道传输及抽样过滤技术来实现数据传输过程中的正交化,消除节点间因信号频率相似而导致的干涉现象,提高网络数据传输效率;随后,几何聚类机制与能量-阈值映射裁决方法,构建了稳定聚类采样方法,利用功率最佳及能量最佳的方式来实现传输节点的筛选,强化传输链路的稳定性能,降低因链路抖动而导致误码的风险。仿真实验结果表明:与常见的超高斯频率漂移传输提升机制(Transmission Mechanism of Super Gauss Frequency Drift Transmission,SGFD-T机制)及拉普拉斯信道滤波传输机制Laplasse Channel Filtering Transmission Mechanism,LCF-T机制)相比,所提算法具有更大的上传带宽和更低的数据采集错误率与误码率。

DISP:物联网开放式数据服务系统

为了使物联网中的人、机、物之间能互享数据和服务,设计并实现了DISP数据服务系统。它可以实时获取并处理数据、部署并控制设备;通过高效的稳定数据流,把系统和服务开放给所有用户,供其发布数据和共享资源,从而自由定制高级的数据组件。细述了DISP系统的架构部署、设计原理、实现机制,详细分析了实现DISP数据服务系统开放性、实时性、灵活性的关键技术,并通过实验系统验证了DISP系统的工作流程和运行效果。

基于物联网的污水处理厂无人值守系统研究

为解决传统污水处理厂中控室控制模式中存在的传输距离有限、数据信息无法历史查询与分析等问题,对污水处理厂无人值守系统进行研究.用物联网技术对某石化企业的污水处理厂无人值守系统进行重构和整合,用无线网络模块对数据信息进行传输,将水质和设备运行监测数据进行存储、分析,并将监控前端web系统发布.实践表明,该系统运行可靠,实时性、安全性等指标完全满足工艺要求,进一步推进了污水处理厂控制系统的智能化、无人化.

基于物联网的农业温室大棚多参数监控平台设计

基于我国农业设施的智能化水平、信息化水平不高的背景,设计、开发了基于物联网技术的农业温室大棚多参数监控平台。依据物联网的感知层、传输层、应用层的层次结构,设计平台的总体构架;实现了基于MongoDB的温室监控与智能管理系统的数据库的设计,支持远程监控与智能化应用功能;通过B/S架构平台的温室智能管理与操作界面,实现了数据的远程查询下载、多个环境参数的阈值设置及不同机构的远程控制。经由农业温室大棚实际项目应用测试,该系统可有效采集作物生长的6大环境要素,对环境因子进行调控;数据传输稳定性高、人机操作界面友好易用。该研究有利于提高温室大棚的工作效率,对推进农业生产的自动化、信息化和智能化建设具有重要意义。

有源电子标签与物联网(上)

对物联网的概念进行了讨论,并将物联网的关键问题归结为如何解决公网以下,几米到上千米的距离范围内,实现各种信息的低成本、低功耗、灵活可靠的无线传输的问题。同时认为有源电子标签是解决这个问题的希望所在。对当前国内外使用的各种有源电子标签进行了比较和分析;指出了现有有源电子标签存在的问题,并介绍了一种具有完全自主知识产权的,简单和切实可行的全新解决方案—交互式智能电子标签技术。

基于ZigBee的涡阳农田物联网系统的设计与实现

为提高大片农田的粮食产量和品质,对现代农田设计一套农业物联网信息采集与处理系统具有十分重要的意义。该文基于ZigBee无线通信技术,结合设计的单片机信息采集系统,通过工业数据传输单元DTU(data transfer unit)上传至网络服务器,从而实现对农田信息的监测和处理。现场测试结果表明,该系统性能稳定,实用可靠,便于安装维护。

基于物联网的中央空调远程监控系统设计

本文针对中央空调的远程监控需求,设计了一套基于物联网的中央空调远程监控系统。该系统通过PLC控制器完成对中央空调的实时数据采集和控制。PLC控制器采集到的空调数据通过DB-BOX物联网数据传输单元(DTU)和4G移动通信网,远程上传到监控中心,采用监控中心的SCADA软件实现了中央空调的数据采集监测和控制指令远程下发。试验结果表明,该远程监控系统实现了中央空调的远程监测和控制,降低了系统运营成本,提高了系统工作效率和自动化水平。

大数据背景下科技管理创新平台构建分析

对大数据背景下科技管理的新特点进行总结,并从科技战略平台、科技政策平台、科技研发平台以及科技转化平台的构建四个层面,论述了大数据背景下科技管理创新平台构建的具体方法。