Content-centric framework for Internet of Things

The Internet of Things (IoT) concentrates on content dissemination and retrieval, so it is significant to achieve efficient content delivery. However, the Internet focuses on end-to-end communications, which might degrade the content retrieval performance in mobile environments. By contrast, the content-centric mechanism might be an ideal method for achieving efficient content delivery although it suffers from flooding and reverse-path disruptions. Therefore, we are motivated to exploit the content-centric mechanism to achieve IoT-based content delivery, and employ the address-centric anycast to overcome the limitations of the content-centric mechanism. Inspired by the idea, we propose a content-centric framework for IoT. The experimental results show that the proposed framework reduces the content communication cost and improves the content acquisition success rate.

     

面向物联网的PBFT优化共识算法

面对大量的物联网事务,高效的共识算法是区块链技术应用于物联网的关键.物联网设备大多以无线通信的方式接入互联网,基于此,文中构建了一种大规模无线密集型网络场景.针对该场景下实用拜占庭容错算法网络通信开销过高、共识时延较长、吞吐量较低的问题,提出了一种基于聚类的实用拜占庭容错算法.首先依据位置特征对节点进行聚类,形成一个多中心层次化的网络结构;其次将共识任务进行分解,在底层和上层网络中分别进行共识,以减少共识所需的通信量;最后引入动态信誉模型评估节点的可信度,减少异常节点的参与,提高系统的安全性和可靠性.实验结果表明,基于聚类的实用拜占庭容错算法能够有效减少通信开销和共识时延,并提高吞吐量.     

Cyber-physical-social-thinking space based science and technology framework for the Internet of Things

The Internet of Things(Io T)as an emerging network paradigm is bringing the next scientific and technological revolution for ubiquitous things’interactions in cyber-physical-social spaces.The Io T influences the current science and technology system by enabling its relatively stable interrelations for an inevitable architecture reconfiguration.In this paper,we aim to explore an updated science and technology framework for the Io T.Particularly,a novel cyber-physical-social-thinking(CPST)space is established by involving an attractive concept of the Internet of Thinking(Io Tk),and a science and technology framework is accordingly proposed referring to both scientific aspect(i.e.,cyber-physical,social,and noetic sciences)and technological aspect(i.e.,fundamental,physical,cyber,and social technologies).According to the perspective of the traditional Chinese culture,we explain the established science and technology framework,in which theFive Elements(i.e.,wood,fire,earth,metal,and water)have common properties with the restructured cyber-physical science in the Io T.Moreover,we introduce a scenario of smart city to identify the technological aspect in the Io T,and discuss the key enabling technologies,including resource management,energy management,data management,session management,security and privacy,loop control,space-time consistency,nanotechnology,and quantum technology.It turns out that the established science and technology framework will launch an innovation for academia and industry communities.     

Decentralized service discovery and selection in Internet of Things applications based on artificial potential fields

The Internet of Things (IoT) vision involves a future Internet integrated with real-world objects that can commonly offer their functionality trough services. In such pervasive environments of IoT networks, locating and invoking suitable services is quite challenging and traditional service discovery and selection approaches have been proven inadequate. In this paper, taking inspiration from natural metaphors, a decentralized service discovery and selection model is proposed. The model is based on artificial potential fields (APFs) which are formed upon each user service request and become active at points where services can be provided. Such points are termed as service provision nodes (SPNs). The strength of each APF depends on the percentage of requested services that can be provided by the respective SPN, as well as on SPN service load and availability with the aim to balance service load among SPNs. Service discovery and selection is then driven by artificial forces applied among user service requests and SPNs. Simulation results indicate that the proposed approach maintains satisfactory performance and scalability as the number of SPNs in an IoT network increase and efficient load balancing of the requested services among the SPNs in comparison with other approaches.     

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。     

军事物联网解决方案研究

为了适应信息化战争的要求,全面提升信息化战争的保障能力,从战略的高度重视并推进军事物联网事业的发展,许多国家都在通过军事物联网来实现保障资源的系统化、合理化利用,为构建现代化军事物流体系而努力。文章介绍了构建军事物联网的必要性,给出了军事物联网的构建方案,并对关键模块和业务流程进行了说明。     

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.     

物联网初探

从物联网的概念出发,阐述了物联网的发展历程、发展前景、存在的问题及我国应采取的对策。     

物联网体系架构的研究

物联网应用于生活的方方面面。物联网(IOT)的大量终端设备不断接入网络,产生大量的数据,物联网的各种终端设备之间的如何连接,如何进行数据通信,如何保证通信安全都是一个很复杂的问题。物联网体系结构的研究是将物联网的功能划分为不同的层次,每一层完成相应的任务,从而保证物联网的功能的正确完成。随着边缘计算的发展,传统物联网体系结构的内容发生了一些变化。物联网中引入边缘计算,可以更好地解决网络安全、负载和延迟等问题。随着未来5G技术的发展,物联网体系结构将在继续发生变化。     

Resource discovery in the Internet of Things integrated with fog computing using Markov learning model

The Journal of Supercomputing - Due to high and unpredictable connection delays, privacy gaps, and traffic load of networks connecting cloud computing to end users in many of the Internet of Things...     

一种基于SOAP的物联网中物品管理协议

随着物联网中基于异构接入技术的物品信息进一步集成的需求日益强烈,需要上层的接入技术无关的协议来屏蔽异构接入技术所带来的差异性.物品管理协议就是一种接入技术无关的上层协议,用来交换物品信息.探讨了物联网的体系结构与物品管理协议的必要性,基于SOAP设计并实现了该物品管理协议,包括协议支持的操作、协议操作的接口定义以及协议的实现结构和处理流程.     

物联网技术研究综述

物联网时代已经到来,该文介绍了物联网的原理以及在各个行业的应用,提出目前物联网技术存在的一些问题,最后提出物联网技术的应用前景。     

物联网安全性能分析

通过对物联网的基本概念、技术的阐述,分析了物联网的相关特点,并提出了物联网在安全性方面存在的问题,从而对物联网的建设发展起了一定的建言作用。     

基于关系的物联网体系结构

物联网是互联网技术、传感技术、智能终端技术等发展到一定阶段后出现的一种聚合性应用。本文认为,其体系结构既要满足对互联网体系结构的继承性,又能反映物体、服务等在现实世界中的相互关系。基于此观点,提出了基于关系的物联网体系结构,给出了物体之间关系的构建方法,提出了关系域、物体的关系属性的概念。物体之间关系的建立,真实反映了物体在现实世界中的关系属性,对物联网的兼容性、安全性、可靠性及智能应用具有重要作用。     

服务网格发现框架研究

不同种类的服务的绑定、共享、组合,协同操作成为系统集成的关键,使得服务网格化成为一种需求.服务网格发现是服务重用、组合的前提.采用语义匹配来解决基于关键字匹配的低效问题,服务发现结构的研究是为了缩短服务发现的响应时间,并充分利用语义信息提高服务查询效率.服务发现结构的两层P2P结构中增加了目录服务改进两阶段服务匹配算法,充分利用目录服务减少服务请求的转发次数以达到缩短服务发现时间.     

NetCluster: A clustering-based framework to analyze internet passive measurements data

Internet measured data collected via passive measurement are analyzed to obtain localization information on nodes by clustering (i.e., grouping together) nodes that exhibit similar network path properties. Since traditional clustering algorithms fail to correctly identify clusters of homogeneous nodes, we propose the NetCluster novel framework, suited to analyze Internet measurement datasets. We show that the proposed framework correctly analyzes synthetically generated traces. Finally, we apply it to real traces collected at the access link of Politecnico di Torino campus LAN and discuss the network characteristics as seen at the vantage point.     

基于互联网基础的物联网安全问题

对物联网所面临的安全问题进行了分析和总结。针对物联网中存在的各种问题进行了深入研究,希望在发展物联网的同时,首先要重视其安全问题。