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Simulation and design studies of knowledge processing in intelligent network environments.

机译：智能网络环境中知识处理的仿真和设计研究。

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The communication market is witnessing unprecedented growth fueled by an information explosion and a technology explosion. In the radio frequency domain, the trend is to shift from narrowband to wideband with a host of standards designed for a variety of application needs. Many technologies including wideband code-division multiple access, intelligent antennas, software-defined radio, and digital processing devices are greatly improving the spectral efficiency of third-generation wireless systems.; In the mobile network area, we are moving from circuit-switched systems to packet-switched systems and eventually an all-IP network will evolve from it. The IP provides a multi-service layer, which has enormous potential to generate revenues. The technology of wireless mobile Internet is expected to revolutionize the world in terms of services which could be provided to the customers at any place and at any time, at reasonably affordable cost.; Wireless and photonic networks can handle the deluge of Internet traffic explosion both in core and access networks. The variety and volume of information is growing every day, resulting in increase, in the demands of various types of multimedia services.; Knowledge Processing is an innovative, creative, and fascinating aspect of human life in which intuitive queries are addressed to the network by the users so as to obtain appealing, satisfying, and comprehensive responses from the network, and the knowledge-based intelligent network responds to the inquirers after processing the queries through its knowledge processing units and knowledge databases. Therefore, a study of multi-layered designs of knowledge-based networks with intelligence embedded in network components is proposed to accept this challenge so as to meet ever-growing multimedia service requirements and diversified queries of the customers.; In this thesis, various aspects of intelligent network designs, their topologies, and appropriate simulation methodologies were studied to evaluate the network efficiency with respect to parameters: inter-arrival time, buffer size, rate control, flow control, and trafficking policy. The impacts of these parameters were observed, assessed and analyzed for channel utilization, protocol utilization, throughput, traffic pattern, different types of delays, and efficiency of knowledge processing, based on simulation reports and graphs.; In a nutshell, “This research deals with various aspects of Designs and Simulation Methodologies of Knowledge-Based Intelligent Networks capable of performing knowledge processing with varying parameters and network characteristics at different levels of human accessibility”. It is envisioned that knowledge-based intelligent network infrastructure equipped with knowledge processing functions will spawn new markets for entrepreneurial developers, spurring competition and accelerating the creation of innovative solutions for all facets of global communications.
机译：信息爆炸和技术爆炸推动了通信市场的空前增长。在射频领域，趋势是通过为各种应用需求而设计的许多标准，从窄带向宽带转变。包括宽带码分多址，智能天线，软件定义的无线电和数字处理设备在内的许多技术正在极大地提高第三代无线系统的频谱效率。在移动网络领域，我们正从电路交换系统转向分组交换系统，最终全IP网络将由此发展。 IP提供了一个多服务层，它具有巨大的创收潜力。预期无线移动互联网技术将以可负担得起的价格在任何地方，任何时间向客户提供的服务方面，改变世界。无线和光子网络可以处理核心网络和访问网络中大量的Internet流量激增。信息的种类和数量每天都在增长，导致对各种类型的多媒体服务的需求增加。知识处理是人类生活中创新，富于创造力和令人着迷的方面，用户通过直观的查询向网络发送查询，从而从网络中获得有吸引力，令人满意和全面的响应，而基于知识的智能网络则对此做出响应查询者通过其知识处理单元和知识数据库处理查询后。因此，提出了对基于知识的网络进行多层设计的研究，以将智能嵌入网络组件中，以应对这一挑战，从而满足不断增长的多媒体服务需求和客户的多样化查询。在本文中，研究了智能网络设计的各个方面，其拓扑结构以及适当的仿真方法，以评估以下参数的网络效率：到达时间，缓冲区大小，速率控制，流量控制和运输策略。基于仿真报告和图形，观察，评估和分析了这些参数的影响，包括信道利用率，协议利用率，​​吞吐量，流量模式，不同类型的延迟以及知识处理的效率。简而言之，“这项研究涉及基于知识的智能网络的设计和仿真方法的各个方面，这些知识和技术能够在人类可访问性的不同级别上以不同的参数和网络特征执行知识处理。”可以预见，具有知识处理功能的基于知识的智能网络基础架构将为企业家开发人员催生新的市场，刺激竞争并加速为全球通信各个方面创建创新的解决方案。

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