Internet of Things Cloud Framework for Smart Homes

Smart appliances and renewable energy resources are becoming an integral part of smart homes. Nowadays, home appliances are communicating with each other with home short-range home area gateways, using existing network communication protocols such as ZigBee, Bluetooth, RFID, and WiFi. A Gateway allows homeowners and utilities to communicate remotely with the appliances via long-range communication networks such as GPRS, WiMax, LTE, and power liner carrier. This paper utilizes the Internet of Things （IoT） concepts to monitor and control home appliances. Moreover, this paper proposes a framework that enables the integration and the coordination of Human-to-Appliance, Utility-to- Appliance, and Appliance-to-Appliance. Utilizing the concepts of Internet of Things leads to one standard communication protocols, TCP/IPV6, which overcomes the many diverse home area networks and neighborhood area networks protocols. This work proposes a cloud based framework that enables the IoTs integration and supports the coordination between devices, as well as with device-human interaction. A prototype is designed, implemented, and tested to validate the proposed solution.

Big Data of Home Energy Management in Cloud Computing

A smart grid is the evolved form of the power grid with the integration of sensing,communication,computing,monitoring,and control technologies.These technologies make the power grid reliable,efficient,and economical.However,the smartness boosts the volume of data in the smart grid.To obligate full benefits,big data has attractive techniques to process and analyze smart grid data.This paper presents and simulates a framework to make sure the use of big data computing technique in the smart grid.The offered framework comprises of the following four layers:(i)Data source layer,(ii)Data transmission layer,(iii)Data storage and computing layer,and(iv)Data analysis layer.As a proof of concept,the framework is simulated by taking the dataset of three cities of the Pakistan region and by considering two cloud-based data centers.The results are analyzed by taking into account the following parameters:(i)Heavy load data center,(ii)The impact of peak hour,(iii)High network delay,and(iv)The low network delay.The presented framework may help the power grid to achieve reliability,sustainability,and cost-efficiency for both the users and service providers.

Blockchain-Based Robust Data Security Scheme in IoT-Enabled Smart Home

The recent surge in development of smart homes and smart cities can be observed in many developed countries.While the idea to control devices that are in home(embedded with the Internet of Things(IoT)smart devices)by the user who is outside the home might sound fancy,but it comes with a lot of potential threats.There can be many attackers who will be trying to take advantage of this.So,there is a need for designing a secure scheme whichwill be able to distinguish among genuine/authorized users of the system and attackers.And knowing about the details of when and what IoT devices are used by the user,the attacker can trace the daily activities of user and can plan an attack accordingly.Thus,the designed security scheme should guarantee confidentiality,anonymity and un-traceability.Most of the schemes proposed in the literature are either non-blockchain based which involves inherent problems of storing data in a single-server or assuming weaker attack models.In this work,we propose a novel scheme based on blockchain technology,assuming a stronger Canetti and Krawczyk(CK)-threat model.Through the formal and informal security,and comparative analysis,we show that the proposed scheme provides a superior security and more functionality features,with less communication cost and comparable computational cost as compared to other competent schemes.Moreover,the blockchain based simulation study on the proposed scheme has been conducted to show its feasibility in real-life application.

Security Requirement Management for Cloud-Assisted and Internet of Things—Enabled Smart City

The world is rapidly changing with the advance of information technology.The expansion of the Internet of Things(IoT)is a huge step in the development of the smart city.The IoT consists of connected devices that transfer information.The IoT architecture permits on-demand services to a public pool of resources.Cloud computing plays a vital role in developing IoT-enabled smart applications.The integration of cloud computing enhances the offering of distributed resources in the smart city.Improper management of security requirements of cloud-assisted IoT systems can bring about risks to availability,security,performance,condentiality,and privacy.The key reason for cloud-and IoT-enabled smart city application failure is improper security practices at the early stages of development.This article proposes a framework to collect security requirements during the initial development phase of cloud-assisted IoT-enabled smart city applications.Its three-layered architecture includes privacy preserved stakeholder analysis(PPSA),security requirement modeling and validation(SRMV),and secure cloud-assistance(SCA).A case study highlights the applicability and effectiveness of the proposed framework.A hybrid survey enables the identication and evaluation of signicant challenges.

SeaHttp:A Resource-Oriented Protocol to Extend REST Style for Web of Things

Web of Things （WoT） makes it possible to connect tremendous embedded devices to web in Representational State Transfer （REST） style. Some lightweight RESTful protocols have been proposed for the WoT to replace the HTTP protocol running on embedded devices. However, they keep the principal characteristic of the REST style. In particular, they support one-to-one requests in the client-server mode by four standard RESTful methods （GET, PUT, POST, and DELETE）. This characteristic is however inconsistent with the practical networks of embedded devices, which typically perform a group operation. In order to meet the requirement of group communication in the WoT, we propose a resource-oriented protocol called SeaHttp to extend the REST style by introducing two new methods, namely BRANCH and COMBINE respectively. SeaHttp supports parallel processing of group requests by means of splitting and merging them. In addition SeaHttp adds spatiotemporal attributes to the standard URI for naming a dynamic request group of physical resource. Experimental results show that SeaHttp can reduce average energy consumption of group communication in the WoT by 18.5%, compared with the Constrained Application Protocol （CoAP）.

Supply and Demand Oriented Energy Management in the Internet of Things

The Internet of Things (IoT) is emerging as an attractive paradigm involving physical perceptions, cyber interactions, social correlations and even cognitive thinking through a cyber-physical-social-thinking hyperspace. In this context, energy management with the purposes of energy saving and high efficiency is a challenging issue. In this work, a taxonomy model is established in reference to the IoT layers (i.e., sensor-actuator layer, network layer, and application layer), and IoT energy management is addressed from the perspectives of supply and demand to achieve green perception, communication, and computing. A smart home scenario is presented as a case study involving the main enabling technologies with supply-side, demand-side, and supply-demand balance considerations, and open issues in the field of IoT energy management are also discussed.

Design of Machine Learning Based Smart Irrigation System for Precision Agriculture

Agriculture 4.0,as the future of farming technology,comprises numerous key enabling technologies towards sustainable agriculture.The use of state-of-the-art technologies,such as the Internet of Things,transform traditional cultivation practices,like irrigation,to modern solutions of precision agriculture.To achieve effectivewater resource usage and automated irrigation in precision agriculture,recent technologies like machine learning(ML)can be employed.With this motivation,this paper design an IoT andML enabled smart irrigation system(IoTML-SIS)for precision agriculture.The proposed IoTML-SIS technique allows to sense the parameters of the farmland and make appropriate decisions for irrigation.The proposed IoTML-SIS model involves different IoT based sensors for soil moisture,humidity,temperature sensor,and light.Besides,the sensed data are transmitted to the cloud server for processing and decision making.Moreover,artificial algae algorithm(AAA)with least squares-support vector machine(LS-SVM)model is employed for the classification process to determine the need for irrigation.Furthermore,the AAA is applied to optimally tune the parameters involved in the LS-SVM model,and thereby the classification efficiency is significantly increased.The performance validation of the proposed IoTML-SIS technique ensured better performance over the compared methods with the maximum accuracy of 0.975.

物联网技术在智慧城市中的应用

阐述智慧城市的发展背景,智慧城市建设面临的挑战。分析物联网技术在智慧城市建设中的应用,包括智慧物流、智慧交通、智慧医疗、智慧养老。探讨物联网技术赋能的智慧城市建设意义。

物联网与多传感器融合的智能家居安防系统

为提升智能家居安防的效果,设计了基于物联网云平台与多传感器技术融合的智能家居安防系统。该系统由感知层、网络层、云计算层和应用层4层结构组成。其中,感知层主要应用多种传感器采集家庭各种数据;网络层利用ZigBee传输协议将感知层采集数据通过无线网络传送至云端;云计算层通过多种监测模型对网络层上传数据进行监测,并将监测结果上传至应用层;应用层的中央处理器判定接收到的云计算层上传的监测结果为出现安防问题后,将信息发送至房主的移动设备,并发出报警。实验结果表明:该系统在入侵测试时可以准确拍摄入侵者的面部图像;在火灾检测时,在12~18 s内便可发出火灾警报。针对不同种类的安全隐患,该系统均能针对性地发出警报,提醒房主。

基于“云计算+物联网”的高校智慧实验室探索与实践

针对当前高校实践教学中设备管理、安全管理、环境管理、资源管理等方面的问题,充分发挥人工智能时代新兴技术的优势,基于“云计算和物联网”技术整合实验室软硬件资源,解决高校实验教学的痛点。首先分析了传统实验室存在的问题和不足,阐述了人工智能时代高校智慧实验室的功能定位,并对高校智慧实验室架构进行了剖析,将EHS理念融入高校智慧实验室的构建与管理,降低实验室后期的维护成本,提升了实验室管理效率和安全性。最后对高校智慧实验室的未来发展进行了展望。

融合物联网通信技术的智慧医疗网络安全系统构建

目的 构建一种基于物联网的智慧医疗网络安全系统,解决医疗卫生领域隐私泄露风险及加密处理效率低的问题,提升数据安全性与加密处理效率。方法 设计了一个包含智能社区成员层、IOT计算层、云数据库的3层系统架构,提出了一种基于区块的数据模糊分组算法和一种基于浮点计算的全同态加密算法。结果结果表明,本研究所提出的加密方案能够有效进行数据加密处理,与传统的集中式系统相比,在计算成本方面降低了约60%。结论 本研究提出的基于物联网的智慧医疗网络安全系统及其加密方案,不仅能有效解决智慧医疗中的隐私泄露风险,而且提高了加密处理效率,为智慧医疗领域的数据安全提供了新的解决方案。

基于云计算的智慧农业物联网云平台探讨

农业是国民经济发展的基础产业,随着农业科技的进一步发展,农业逐渐朝着现代化趋势迈进,提升单位面积可耕种地以及农业劳动力的利用率是我国农业发展的一项要点。农业物联网是指将物联网技术应用于农业领域,通过传感器、无线通信、云计算等高新技术手段,实现对农业生产过程中各种要素的全面监测、数据采集与分析,为农业生产提供精细化管理,促进农业生产的智能化、高效化和可持续发展。

高山无线发射台站智慧运维管理系统设计

自智慧广电战略提出以来,广播电视无线覆盖智慧化已成为广电行业技术研究的热点。本文详细介绍了高山无线发射台站的智慧化改造,通过在自台播出监控系统的基础上进行重新设计,构建了智慧运维管理系统。该系统实现了广播电视节目传输、发射的监控一体化云管理,并依托大数据、人工智能等技术,扩展了链路设备故障定位、智能诊断和播出预警等功能。这些改进措施全面提升了高山发射台站的安全播出保障能力。

基于云边协同的电力物联终端数据轻量化处理方法

电力物联网在大规模化高频数据传输应用中,由于现场存在海量实时数据传输,因而会造成对现场数据无法进行有效压缩,进而导致云边信息传输效率低以及传输流量费用高等问题。该文提出一种基于云边协同的电力物联数据轻量化处理方法(LPCE)。该方法基于一种物模型结构,通过提取云边交互数据形成压缩字典,并将压缩字典同步至边缘设备来完成海量数据压缩。针对传统常见的压缩方法,该文在数据有效率、压缩率、压缩时间以及压缩速度和解压缩速度等方面分别做了对比分析实验。实验结果表明,在面对高频、实时传输的电力物联网系统中以JSON(JavaScript Object Notation)格式报文数据为代表的交互数据的压缩,提出的LPCE方法具有明显效果和优势。该方法实现了电力物联网云边数据无损压缩,可减少电力物联网云边之间的冗余数据传输,提升了云边数据传输效率,降低了云边之间数据传输成本。

低碳目标下的智慧图书馆绿色发展策略

低碳是智慧图书馆的建设目标之一。作为国家公共机构的重要组成部分,图书馆肩负着促进环境可持续发展的责任。利用环境物联网、绿色云计算与大数据技术构建支撑智慧图书馆绿色发展的数据中台,并对其具体应用展开详细论述。最后提出合理选择技术,防止隐私泄漏;按需利用技术,拒绝资源浪费;引入新兴技术,探寻“开源”之路三点展望,旨在为智慧图书馆实现低碳目标提供参考。

基于物联网和云计算的智能家居系统设计与实现

目前,智能家居系统逐渐成为现代家庭生活的重要组成部分。文章旨在设计和实现一种基于物联网和云计算的智能家居系统,以提高家庭生活的便捷性、舒适性和安全性。实验结果表明,基于物联网和云计算的智能家居系统能够有效实现用户对家庭设备的智能控制与监测,从而提升了家居生活的便捷性和智能化水平。

智慧园区建设的关键技术要点研究

随着信息技术的迅猛发展、广泛应用,智慧园区建设成为推动现代园区转型升级的关键环节,运用云计算、大数据等技术建设智慧园区,为园区内企业、居民提供更加便捷、高效的服务,同时推动园区的绿色发展、可持续发展。基于此,本文分析智慧园区建设过程中的关键技术要点,以期推动园区的智能化、高效化、可持续发展,进而提升园区的整体竞争力。

基于智慧城市的物联网基础设施关键技术分析

随着城市化进程的加速和信息技术的快速发展,智慧城市已成为未来城市的发展重要方向。智慧城市通过应用物联网、云计算、大数据等先进技术,可实现城市各个领域的智能化、高效化和可持续化发展。文中重点探讨了基于智慧城市的物联网基础设施关键技术。

基于物联网技术的智慧港口平台设计

为了提高港口运营效率和提高企业竞争力,文章对智慧港口平台设计进行了研究,提出了一种基于物联网的智慧港口平台设计方法。智慧港口平台设计主要设计内容包括港口物流服务云平台设计、智能码头云平台设计、大数据服务平台设计和云计算平台设计。智慧港口平台设计为智慧港口的建设和运营提供帮助,提高了港口经济效益和服务质量。

云计算技术在智慧医院信息服务中的应用

为实现医院智能化转型和发展,提高医院信息服务的及时性和准确性,文章应用云计算技术,提出智慧医院云平台设计方案。首先,介绍云计算技术、智慧医院信息服务以及二者的关系;其次,对智慧医院云平台的功能进行设计,包括云档案系统、云管理系统、云病例系统、云运营系统等模块;最后,对该云平台的性能进行测试。结果表明:在云计算技术的应用下,文章所设计的智慧医院云平台具有信息交互效率高、信息化建设成本低、医疗信息服务能力高等特点,完全符合实际应用需求。希望本次研究能够为相关人员提供有效的借鉴和参考。