A secure and quality-aware prototypical architecture for the Internet of Things

The increasing diffusion of services enabled by Internet of Things (IoT) technologies raises several risks associated to security and data quality. Together with the high number of heterogeneous interconnected devices, this creates scalability issues, thereby calling for a flexible middleware platform able to deal with both security threats and data quality issues in a dynamic IoT environment. In this paper a lightweight and cross-domain prototype of a distributed architecture for IoT is presented, providing minimum data caching functionality and in-memory data processing. A number of supporting algorithms for the assessment of data quality and security are presented and discussed. In the presented system, users can request services on the basis of a publish/subscribe mechanism, data from IoT devices being filtered according to users requirements in terms of security and quality. The prototype is validated in an experimental setting characterized by the usage of real-time open data feeds presenting different levels of reliability, quality and security.     

物联网时代的嵌入式系统机遇

嵌入式系统是物联网平台的半边天.物联网、云计算给嵌入式系统带来新的机遇.单片、嵌入、物联是嵌入式系统的三个基本特性,体现了嵌入式系统的三个时代特征.物联网是多学科的大科技概念,要有多学科视野,嵌入式系统应该用自己的语言来诠释物联网.目前,物联网平台的许多嵌入式技术已经成熟,建设物联网的大型国家工程迫在眉睫.     

从互联网角度分析物联网

从互联网角度对物联网进行了深入浅出的分析。物联网是在计算机互联网的基础上,利用RFID、无线数据通信等技术,构造一个覆盖世界上万事万物的"Internet of things"。在这个网络中,物品(商品)能够彼此进行"交流",而无需人的过多干预。其实质就是综合利用各种技术,通过互联网实现物品(商品)的自动识别和信息的互联与共享的目的。不论是物联网的概念内涵,还是使用的相关的技术,物联网都没有脱离互联网,二者的基础是一致的。     

Development of foundation models for Internet of Things

With the advent of the Internet of Things (IoT) that offers capabilities to identify and connect worldwide physical objects into a unified system, the importance of modeling and processing IoT data has become significantly accentuated. IoT data is substantial in quantity, noisy, heterogeneous, inconsistent, and arrives at the system in a streaming fashion. Due to the unique characteristics of IoT data, the manipulation of IoT data for practical applications has encountered many fundamental challenging problems, such as data modeling and processing. This paper proposes the infrastructure for an IoT prototype system that aims to develop foundation models for IoT data. We illustrate major modules in the IoT prototype, as well as their functionalities, and provide our vision of the key techniques used for tacking the critical problems in each module.     

浅析物联网在通信行业中的应用

“物联网”作为标志着新技术和经济革命的一种新兴产业而受到各国政府、学术界和工业界的广泛重视。本文介绍了物联网的相关概念、特征,描述了物联网技术架构,并简单分析了物联网在通信行业应用的发展阶段和发展现状。     

物联网技术特点与应用

本文对物联网信息进行了综合分析,介绍了物联网的起源、基本概念、国内外的研究现状和应用现状,讨论了物联网体系结构、感知及终端技术、物联网安全、智能化等关键技术,结合中国物联网的发展及产业现状,提出物联网的应用技术建议。     

物联网与嵌入式技术

本文从物联网及其体系结构谈起,介绍了嵌入技术及嵌入式处理器,并对嵌入式技术在物联网中的作用及发展前景做了阐述。     

物联网技术发展与商业模式研究

物联网实质上是在强化通讯与信息交换的基础上,将物品进行定位、识别、跟踪、管理与监控等。建立物联网的目的在于运用传感技术和识别技术等多种信息化高级手段,在互联网平台上主动实现实物间的信息交换。本文试就物联网技术发展与商业模式的一些相关问题作初步分析,并提出建议。     

物联网的机遇与挑战

作为未来的发展趋势之一,物联网将在各个方面决定未来世界和人类社会的发展方向。由于物联网的发展还处于起步阶段,人们对这一领域的了解往往不够全面,甚至存在一些误区。因此,通过介绍物联网的发展史和相关基本概念,希望使读者能够对这一全新领域有一个全面准确的认识。同时对当前物联网发展中存在的困难进行了比较系统的分析,指出了今后的发展方向。     

物联网的研究现状及其产业化

物联网(IOT)作为近年来发展最为迅猛的技术受到各方面的关注.本文首先从物联网的概念出发,全面介绍物联网的历史及概念;然后就其各种标准及标准化的进程进行介绍和分析,并对其发展现状做概括性的描述;最后对其产业化的发展道路进行分析和展望.     

物联网的应用和前景展望

物联网被视为互联网的应用扩展,应用创新是物联网的发展的核心,以用户体验为核心的创新是物联网发展的灵巍。沥诞网作为未来发展的趋势,将给世界和社会带来巨大变革,并改变人们的生活方式。     

Semantic Web of Musical Things: Achieving interoperability in the Internet of Musical Things

The Internet of Musical Things (IoMusT) refers to the extension of the Internet of Things paradigm to the musical domain. Interoperability represents a central issue within this domain, where heterogeneous Musical Things serving radically different purposes are envisioned to communicate between each other. Automatic discovery of resources is also a desirable feature in IoMusT ecosystems. However, the existing musical protocols are not adequate to support discoverability and interoperability across the wide heterogeneity of Musical Things, as they are typically not flexible, lack high resolution, are not equipped with inference mechanisms that could exploit on board the information on the whole application environment. Besides, they hardly ever support easy integration with the Web. In addition, IoMusT applications are often characterized by strict requirements in terms of latency of the exchanged messages. Semantic Web of Things technologies have the potential to overcome the limitations of existing musical protocols by enabling discoverability and interoperability across heterogeneous Musical Things. In this paper we propose the Musical Semantic Event Processing Architecture (MUSEPA), a semantically-based architecture designed to meet the IoMusT requirements of low-latency communication, discoverability, interoperability, and automatic inference. The architecture is based on the CoAP protocol, a semantic publish/subscribe broker, and the adoption of shared ontologies for describing Musical Things and their interactions. The code implementing MUSEPA can be accessed at: https://github.com/CIMIL/MUSEPA/.     

从互联网到物联网

结合对互联网发展历程的回顾,本文阐述物联网与互联网的联系,分析物联网的主要特点、技术和应用领域。     

从嵌入式系统视角看物联网

物联网是微处理器基础上,通用计算机与嵌入式系统发展到高级阶段相融合的产物。物联网有3个源头,即智慧源头、网络源头、物联源头。物联网的物联源头是嵌入式应用系统的4个通道接口。物联网中有众多的物联系统,物联网事件是物联系统中的行为过程。从众多的物联网事件中,可以归纳出物联网的6个行为元素,即物储、物感、物控、物信、物管、物互。物联网与云计算的关系是基础与上层建筑的关系：物联网是智慧地球,云计算是智慧服务。     

工业物联网研究概述

中国作为世界上最大的制造业基地,每年的工业生产总值约占GDP总额的一半。现代先进制造业的发展使得传统的生产模式不再适合,而物联网的提出给先进制造业提供了可靠的技术支持,可保证在复杂环境中的工业生产的顺利进行。文章主要从工业物联网的关键技术以及主要应用方面对其做了详细的论述,同时给出了影响未来工业物联网发展的若干因素。     

Evolving privacy: From sensors to the Internet of Things

The Internet of Things (IoT) envisions a world covered with billions of smart, interacting things capable of offering all sorts of services to near and remote entities. The benefits and comfort that the IoT will bring about are undeniable, however, these may come at the cost of an unprecedented loss of privacy. In this paper we look at the privacy problems of one of the key enablers of the IoT, namely wireless sensor networks, and analyse how these problems may evolve with the development of this complex paradigm. We also identify further challenges which are not directly associated with already existing privacy risks but will certainly have a major impact in our lives if not taken into serious consideration.     

物联网量化信任管理模型研究

信任管理模型是物联网可信性评估问题的潜在解决方案,目前关于物联网信任模型的研究主要集中在定性分析和无线传感器网络上,可操作的定量分析成果很少。本文主要研究了在物联网分层架构下,智能物品追踪场景下的可信建模问题。从信任的建立、信任的建模、信任的计算、信任的传递、信任的决策5个典型的信任管理生命周期依次量化建模,建立物联网的量化信任管理模型。仿真结果表明所提模型相对于以往信任模型具有更好的鲁棒性和任务执行效率。     

物联网在产业中应用的探讨

本文首先阐述了物联网的概念以及现在的发展状况,同时介绍了物联网在产业中的应用和未来可能的发展趋势,最后介绍了物联网在网络信息化产业中的应用.     

浅谈物联网

物联网是在互联网基础上将用户端延伸到任何物体之上,是下一代互联网的发展核心,有着广阔的发展前景,同时其又处在起步阶段,有许多技术等问题亟待解决.该文主要介绍了物联网的概念及其运行模式、主要技术、与互联网传感网的区别、发展现状及人才需求情况.