河北省Internet及多媒体综合信息服务的发展策略

本文根据河北省Ｉｎｔｅｒｎｅｔ和电信业务发展情况，提出了河北省Ｉｎｔｅｒｎｅｔ及多媒体综合信息服务业务的发展策略和思路。指出要对市场进行深入，科学的调查和分析，结合实际，制定原则，拓宽渠道，加快发展。     

电话交换的发展前景

本文分析了时分复用和包分复用模式各自的应用和优缺点，指出了ＰＤＭ这种不同的通信模式的出现，将对ＴＤＭ技术构成激烈的竞争。同时，无线电话技术的发展及其独特的优势，将使之成为新的接入媒体，它将和Ｉｎｔｅｒｎｅｔ，ＡＴＭ技术一起，对下一代电话交换机的设计产生直接影响。     

按照规范完善直流电源系统的设计

结合标准规范，阐述了仪表直流电源系统的风险及风险降低方案。从标准的角度出发结合实际应用，介绍了电源系统的基本方案。并对各个方案的安全性做了对比，供工程设计和实际应用参考。     

上海石化新版企业网站的实现与未来展望

中国石化上海石油化工股份有限公司的企业网站(www．spc．com．cn)在原有网站结构、功能和硬件的基础上对网站的网页设计、内容、结构、功能进行了全面改版,提高了网站的管理水平和国际认可度。针对中国上市公司通过因特网公布信息,宣传公司形象及产品的信息化要求和战略,简要介绍了上海石化新版企业网站的建设过程,着重分析了网站建设规划、设计和内容管理等企业网站建设和维护的关键,并且展望了公司网站未来发展的技术应用方向。     

An efficient in‐network caching decision algorithm for Internet of things

Recently, content‐centric networking (CCN) has become one of the important technologies for enabling the future networks. Along with its recognized potentialities as a content retrieval and dissemination solution, CCN has been also recently considered as a promising architecture for the Internet of things (IoT), because of 2 main features such as named‐based routing and in‐network caching. However, IoT is characterized by challenging features: small storage capacity of resource‐constrained devices due to cost and limitation of energy and especially transient data that impose stringent requirements on the information freshness. As a consequence, the intrinsic caching mechanisms existing in CCN approach do not well suit IoT domains; hence, providing a specific caching policy at intermediate nodes is a very challenging task. This paper proposes an effective multiattribute in‐network caching decision algorithm that performs a caching strategy in CCN‐IoT network by considering a set of crucial attributes including the content store size, hop count, particularly key temporal properties like data freshness, and the node energy level. Simulation results proved that our proposed approach outperforms 2 cache management schemes (probabilistic least recently used and AlwaysCache–first in first out in terms of improving total hit rate, reducing data retrieval delay, and enhancing content reusability in IoT environment).     

A novel energy‐aware routing mechanism for SDN‐enabled WSAN

Energy consumption is one of the most important design constraints when building a wireless sensor and actuator network since each device in the network has a limited battery capacity, and prolonging the lifetime of the network depends on saving energy. Overcoming this challenge requires a smart and reconfigurable network energy management strategy. The Software‐Defined Networking (SDN) paradigm aims at building a flexible and dynamic network structure, especially in wireless sensor networks. In this study, we propose an SDN‐enabled wireless sensor and actuator network architecture that has a new routing discovery mechanism. To build a flexible and energy‐efficient network structure, a new routing decision approach that uses a fuzzy‐based Dijkstra's algorithm is developed in the study. The proposed architecture can change the existing path during data transmission, which is the key property of our model and is achieved through the adoption of the SDN approach. All the components and algorithms of the proposed system are modeled and simulated using the Riverbed Modeler software for more realistic performance evaluation. The results indicate that the proposed SDN‐enabled structure with fuzzy‐based Dijkstra's algorithm outperforms the one using the regular Dijkstra's and the ZigBee‐based counterpart, in terms of the energy consumption ratio, and the proposed architecture can provide an effective cluster routing while prolonging the network lifetime.     

相空间重构和正则极限学习机的网络流量预测

网络流量预测一直是网络研究技术中的热点,针对网络流量变化的时变性、混沌性,提出一种相空间重构和正则极限学习机的网络流量预测模型。首先收集大量的网络流量历史样本,并进行相应的预处理,然后根据混沌理论确定最优延迟时间和嵌入维数,并重构网络流量学习样本,最后采用正则极限学习机建立网络流量预测模型,并进行仿真对比实验。结果表明,相对于其它网络流量预测模型,本文模型可以更加准确描述网络流量的非线性变化特点,提高网络流量预测精度,预测结果具有一定实用价值。     

异构物联网的开放式架构研究

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.     

基于车联网的交通流云处理平台研究

Internet of Car, resulting from the Internet of Things , is a key point for the forthcoming smart city. In this article, GPS technology, 3G wireless technology and cloudprocessing technology are employed to construct a cloudprocessing network platform based on the Internet of Car. By this platform, positions and velocity of the running cars , information of traffic flow from fixed monitoring points and transportation videos are combined to be a virtual traffic flow data platform, which is a parallel system with real traffic flow and is able to supply basic data for analysis and decision of intelligent transportation system.     

智融标识网络基础研究

现有互联网因其原始设计不足已在服务质量、资源利用率、管控能力等诸多方面暴露出严重弊端，难以支撑起"互联网+"新业态高速发展对通信网络与服务日趋复杂化、多元化的需求.因此，如何设计全新的互联网已成为信息领域最为迫切与核心的研究内容之一，受到学术界与产业界的高度重视.本文基于前期"标识网络"与"智慧标识网络"研究，创造性提出"智融标识网络"体系及其关键机制，通过全网多空间、多维度资源的智慧融合，实现个性化服务的按需供给与灵活化组网的有效支撑，为不同行业与用户提供高效的差异化、定制化通信网络服务，以普遍适用于高铁网络、工业互联网、车联网等各类迥异应用情景.