A Review of Road Accidents Detection through Wireless Technology—5G, MIMO and Internet of Things

Road transport is been used for moving people and all kinds of goods throughout the world. However, it is one mode of transportation that is prone to accidents and it faces a plethora of never-ending challenges, such as the frequent loss of lives and valuables when accident occurs. The best course of action to handle these issues is to set up an autonomous incident detection system using wireless communication, 5G technologies and the Internet of Things. IoT is a seamless technology that increases the connectivity between humans and machines. It is web-based, and improves communication between vehicle to vehicle, vehicle to infrastructures, transfer of data and information to predict incident occurrences through various networks and frameworks such as eCall, OneM2M and integration of mobile broadband. Additionally, internet of things is being adopted for public safety;for instance, it can speed up first responders’ response times to situations by displaying the best routes to a scene of an accident. The rapid development of 5G is happening in parallel with developments of internet of things (IoT), artificial intelligence (AI), and smart platforms for novel applications such as mission-critical communications. 5G is a new generation technology that operates on the Ultra High Spectrum Band UHSB. It is an innovation that uses the pedestrians-vehicle-road-cloud, and the communication between vehicle locations and temperature of high-quality connection. It is essential for intelligent transport systems because it allows for information sharing, prediction of incidences as safety is the primary concern of road transport. This review examines accident detection through 5G technology, integrated mobile broadband, and multiple inputs multiple outputs (MIMO) wireless system. Finally, we conclude by examining recent technology, challenges, present and future research trends.

Review of Internet of Things in Different Sectors:Recent Advances,Technologies,and Challenges

Human beings and their activities are now connected through Internet of Things(IoT)with the evolution of wireless communication technologies.IoT is becoming popular and its usage is immensely increasing among various sectors.In this research paper,a comprehensive review has been conducted by considering recent and important literature review on IoT applications being operated in three major sectors.The three sectors studied are health,sports and transportation and logistics.Paper explored that with the help of IoT techniques,different miniature sized devices are invented which can record various parameters of human body,wearables devices have been invented which are playing important role in monitoring and recording daily fitness are working on CIoT technology and IoT emergence in the field of transportation and logistics helps in resolving several issues including conveniences,navigation issues,service cost and security issues.All the papers reviewed are journal published from 2010 to 2020.In latter part,this paper also highlighted security,privacy,reliability,consumption of various resources and policies as significant challenges for IoT.

A Methodology for Reliability of WSN Based on Software Defined Network in Adaptive Industrial Environment

As communication technology and smart manufacturing have developed, the industrial internet of things(IIo T)has gained considerable attention from academia and industry.Wireless sensor networks(WSNs) have many advantages with broad applications in many areas including environmental monitoring, which makes it a very important part of IIo T. However,energy depletion and hardware malfunctions can lead to node failures in WSNs. The industrial environment can also impact the wireless channel transmission, leading to network reliability problems, even with tightly coupled control and data planes in traditional networks, which obviously also enhances network management cost and complexity. In this paper, we introduce a new software defined network(SDN), and modify this network to propose a framework called the improved software defined wireless sensor network(improved SD-WSN). This proposed framework can address the following issues. 1) For a large scale heterogeneous network, it solves the problem of network management and smooth merging of a WSN into IIo T. 2) The network coverage problem is solved which improves the network reliability. 3) The framework addresses node failure due to various problems, particularly related to energy consumption.Therefore, it is necessary to improve the reliability of wireless sensor networks, by developing certain schemes to reduce energy consumption and the delay time of network nodes under IIo T conditions. Experiments have shown that the improved approach significantly reduces the energy consumption of nodes and the delay time, thus improving the reliability of WSN.

无线HART协议的研究与实现

为了顺应工业无线通信技术的迅速发展,HART基金会于2007年9月推出了无线HART标准,作为HART7.0规范的核心部分,无线HART是一种专门为过程自动化应用设计的无线网格型网络通信协议。在本文中,对无线HART协议进行了解剖和研究,给出了网络管理器系统设计,并对路由与通信资源分配进行了探索性研究及给出了具体算法,以便支持整体软件的开发。

无线HART网络管理器的开发与应用

介绍无线HART网络管理器及无线HART协议的主要功能。针对无线HART网络管理器功能繁多而复杂的问题,采用模块化方法、交叉开发模式、增量式迭代开发方法,设计和实现了无线HART网络管理器,并给出无线HART网络管理器在工业现场的应用实例。

无线HART在海洋石油工业应用展望

本文概述了工业无线技术优势,介绍了目前主流的几种工业无线仪表标准,重点阐析了无线HART的理论基础、结构、特点及应用原则。最后结合目前我国海洋石油工业仪表的实际情况,对无线HART进行应用分析和展望。

Wireless Sensor Security Issues on Data Link Layer:A Survey

A computer network can be defined as many computing devices connected via a communication medium like the internet.Computer network development has proposed how humans and devices communicate today.These networks have improved,facilitated,and made conventional forms of communication easier.However,it has also led to uptick in-network threats and assaults.In 2022,the global market for information technology is expected to reach$170.4 billion.However,in contrast,95%of cyber security threats globally are caused by human action.These networks may be utilized in several control systems,such as home-automation,chemical and physical assault detection,intrusion detection,and environmental monitoring.The proposed literature review presents a wide range of information on Wireless Social Networks(WSNs)and Internet of Things(IoT)frameworks.The aim is first to be aware of the existing issues(issues with traditional methods)and network attacks on WSN and IoT systems and how to defend them.The second is to review the novel work in the domain and find its limitations.The goal is to identify the area’s primary gray field or current research divide to enable others to address the range.Finally,we concluded that configuration.Message Rapid Spanning Tree Protocol(RSTP)messages have higher efficiency in network performance degradation than alternative Bridge Data Unit Protocol(BPDU)forms.The research divides our future research into solutions and newly developed techniques that can assist in completing the lacking component.In this research,we have selected articles from 2015 to 2021 to provide users with a comprehensive literature overview.

基于物联网技术的基站移动式油机无线监控系统设计与实践

文章依托杭州大光明通信系统股份有限公司在研项目,聚焦于传统基站移动式油机管理模式存在的局限性与不足,设计并实现了一种基于物联网的基站移动式油机无线监控系统。该系统通过无线通信技术,能够实时追踪油机的位置、油耗、状态等数据,为提升油机维护保养监管力度、基站发电调度管理力度、基站发电保障力度、发电费用管控精细化程度提供有力的数据支持。通过实际应用,文章验证了该系统的有效性和实用性。

面向多用户接入的无线通信技术在物联网环境下的资源分配与协同传输研究

为探讨面向多用户接入的无线通信技术在物联网环境下的资源分配与协同传输问题,深入研究无线通信技术、多用户接入技术及物联网环境下的资源分配技术,提出结合正交频分多址(Orthogonal Frequency Division Multiple Access,OFDMA)和多用户多输入多输出(Multi User Multiple Input Multiple Output,MU-MIMO)的解决方案。该方案在吞吐量、延迟、用户支持数及频谱利用率等方面均表现出显著优势。在研究中,采用OFDMA技术将无线信道划分为多个正交子信道,允许多个用户在同一时间、同一频段内进行通信。结合MU-MIMO技术,实现多个用户在同一时间内与基站进行通信,提高了网络吞吐量和容量。结合使用OFDMA和MU-MIMO技术的方案,吞吐量达到了1300 Mb/s,明显高于单独使用OFDMA的800 Mb/s和单独使用MU-MIMO的1000 Mb/s。该方案的延迟降低到了10 ms,用户支持数多达24个,频谱利用率高达90%。

基于物联网技术的智能建筑管理系统研究

随着科技的不断进步和社会的发展,智能建筑管理系统在现代城市建设中扮演着越来越重要的角色,同时物联网技术的迅猛发展也为智能建筑管理系统的开发实现提供广阔的空间。文章从物联网技术与智能建筑管理系统简述入手,分析了物联网技术概述、智能建筑管理系统的定义和基本原理,进而探讨了物联网技术在智能建筑管理系统中的具体应用,并总结了其存在的问题及发展趋势。文章旨在为互联网及建筑领域的研究人员和实践者提供参考和启示,在未来的城市建设中发挥更加重要和广泛的作用。

基于ZigBee技术的无线传感器网络的应用研究

随着信息技术的不断发展,无线传感器网络作为一种重要的物联网技术,正逐渐被应用于人们的生活中。文章详细介绍了ZigBee协议和数据安全加密技术在无线传感器网络中的重要作用,分析了无线传感器网络系统的总体构架,包括传感器节点、路由节点和ZigBee网关等组成部分。通过具体的应用场景,如智能家居、医疗护理和目标追踪定位,总结了无线传感器网络在实际生活中的广泛应用前景。文章旨在帮助研究人员了解无线传感器网络技术及其应用领域,并为在相关领域研究中提供了新的思路和解决方案。

物联网领域通信工程技术的应用研究

文章围绕物联网领域通信工程技术的应用,首先介绍了物联网的基本概念、通信工程技术的核心原理以及它们在物联网领域的关键作用。然后,详细探讨了无线通信技术、有线通信技术以及感知层通信技术在物联网中的应用。接着,分析了通信工程技术在物联网中应用面临的挑战与机遇,包括网络安全问题、数据传输效率问题、设备兼容性问题以及5G/6G通信技术的发展与应用等。最后,总结了通信工程技术在物联网领域应用的重要性和应用价值,并对未来研究方向进行了展望。

智能制造中工业物联网前沿技术的布局特征分析

从工业物联网在智能制造中的应用场景进行分析,利用Histcite、VOSviewer等工具处理从Web of Science数据库中检索的论文数据,incoPat数据库则用于专利数据的检索,从论文、专利两个维度分析2018—2023年数据,分别探讨当前工业物联网前沿技术研究和应用分布与发展趋势。同时剖析国内外工业物联网的布局特征,针对工业物联网技术面临的挑战和发展趋势,提出聚焦基础难点、深耕理论研究、推进技术落地等建议,以期为工业物联网发展及技术应用提供指导及帮助。

应用物联网通信技术的大气污染物监测信息无线传输方法研究

大气污染物监测信息传输过程丢包率和误码率较高,存在传输延时较长以及传输成功率较低等问题,由此,提出一种应用物联网通信技术的大气污染物监测信息无线传输方法。将最优阶估计和分布式分簇的数据压缩方法有效结合,获取多传感器之间的通信方式,分析监测过程的通信状态,在传感器有限存储容量的约束下,引入滑动窗口机制,实现大气污染物监测信息无线传输。实验结果证明,所提方法可以有效提升大气污染物监测信息无线传输成功率,减少传输过程中的丢包率,同时还可以降低传输延时,保证监测信息无线传输效率。

新一代信息技术在智能矿山中的研究与应用综述

随着信息技术的飞速发展及矿山智能化转型升级的需求加大,新一代信息技术在智能矿山领域的探索与应用持续深化。简述了矿山信息化、数字化及智能化的理论体系,其覆盖从数据采集、处理到智能决策的全方位流程,为矿山转型升级奠定基础。综述了智能矿山监测监控技术、矿山大数据智能分析与决策技术、矿用设备预测性维护技术、智能矿山工业物联网技术、智能矿山AI技术、矿山数字孪生技术、矿山机器人技术、矿山5G通信技术的核心关键技术、典型应用场景和未来发展趋势。智能矿山监测与监控技术的核心构成是高精度传感器网络、物联网、大数据分析及AI。矿山大数据智能分析与决策关键技术包括数据收集与整合、数据智能分析、决策支持等。矿用设备的预测性维护技术主要包括数据采集、数据分析、故障诊断及维护决策优化。智能矿山工业物联网技术贯穿感知层到应用层,实现矿山安全管理的高效化与智能化。智能矿山AI技术在预测性维护与自我优化、人机协作与自动化控制等领域具有巨大的应用潜力。矿山数字孪生技术的核心是物联网、三维可视化与建模、AI与机器学习和高可靠通信技术。矿山机器人技术在无人驾驶、智能采矿、环境感知与监测、多机器人协同作业等领域广泛应用。矿山5G技术的核心优势是高速率、低延迟、大连接密度、高可靠性与稳定性,在多传感器融合监测、无人驾驶、5G边缘计算、虚拟现实/增强显示等领域得以应用。

物联网与信息化的融合发展研究

随着科技的快速发展,物联网(IoT)和信息化成为推动石油行业创新与效率提升的关键因素。针对该行业在通讯和定位方面的独特需求,以及数据安全和环境适应性等方面的挑战,本文深入分析了物联网和信息化技术在石油行业的应用及其显著影响,展现物联网与信息化技术如何共同推动石油行业朝着更高效、更安全、更环保的方向发展,同时强调持续研究和投资的重要性。

工业无线网络技术在工业互联网中的应用研究

工业互联网体系融合了新一代信息通信技术与工业经济,推动了工业数字化、网络化、智能化转型,其中网络体系是基础。工业无线网络作为其重要组成部分,具有灵活部署的特性,能适应复杂的工业环境,为工业互联网的构建提供基础。深入探讨了工业无线网络技术在工业互联网中的应用,分析了工业无线网络技术的现状、优势、挑战,阐述了其在工业互联网生态中的重要地位,并探讨了其在提升生产效率、降低成本、增强安全性等方面的潜力及未来发展方向。

“物联网+”智能分层测配注水系统应用

传统人工上井测调方式存在野外作业环境恶劣、操作复杂、测调配成功率低、周期长、配注不合理、无效注水多、耗能多、人工成本高、安全隐患多等问题。针对上述难题,依托油田内部网络SCADA系统,采用远程采集控制终端(RTU),对接应用波码通信数字式分注技术,联合研发“物联网+”智能分层测配注水系统。2021年在邵家油田现场应用,根据每层油层注水需要,调整水嘴开度,减少无效注水,增加原油产量,降低注水单耗。年获经济效益891.95万元。实现精细分层注水后,注入井分层测调工艺向物联网人工智能方面转变,升级换代到无人化、全自动智能测调方式,大幅提升工作效率,改善工作环境。

基于物联网技术的农田泵站智能化监控系统设计

农田泵站能够有效管理和调配水资源,保证农业生产中稳定地提供灌溉水源,避免因水资源短缺导致的农作物减产甚至绝收。但是目前农田泵站自动化及智能化水平较低,人工劳动强度大。基于此,该文利用传感器网络实时采集泵站的运行状态、水位、流量、气象等数据,通过无线通信技术传输至中央控制系统,然后中央控制系统对数据进行分析处理,并通过远程监控平台展示泵站的运行状态,实现对泵站的远程监控与管理。该系统还具备智能报警功能,在异常情况发生时能够及时预警,并可自动调整泵站的工作模式以应对突发状况。通过实际应用测试,验证了系统的稳定性和可靠性,为农田灌溉管理提供了有效的技术支持。

基于WAPI的电力物联网终端安全接入技术研究

为了提高电力物联网终端安全接入能力,提高数据网关信道容量和网关运行状态稳定性,设计了一个基于无线局域网鉴别和保密基础架构的电力物联网终端安全接入系统。通过加密无线网技术构建无线局域网鉴别和保密基础架构模块,实现电力终端数据的安全传输;利用物联技术构建电力终端接入物联网后的网关状态预测模型,利用最短寻优法对终端网关路由节点进行划分,设计信息信道传输模型;采用拉格朗日算法对传输信道容量的分析方案改进成多周期预测。从而实现对电力终端安全接入网关状态的准确预测。通过试验表明,系统技术核算的数据预测准确率在90%以上,实现了对电力终端安全接入网关状态的准确预测,为其他技术研究奠定基础。