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Routing in Cognitive Wireless Mesh Networks an intelligent framework

机译:认知无线网状网络中的路由智能框架

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Wireless Networks are limited in energy and resources, are subject to development constraints. The difficulties are such as the increasing RF spectrum saturation and efficient path discovery. The Cognitive Wireless Networks, leaning on a form communication model, develop new strategies to mitigate the inefficient use of the spectrum. The first application of the concept of cognitivity to communications was focused on exploiting the dynamics in spectrum utilization (cognitive radio), nevertheless network-wide deployment of such concepts is foreseen in the framework of the “cognitive networks”, where the cognitive process will be employed to support end-to-end network-wide goals such as QoS. This paper presents a state-of-art of cognitive networks and proposes a framework, architecture for cognitive networks. This paper will also discuss mechanisms for self-adaptation, learning and evolutionary functionalities to support users/applications end-to-end goals.
机译:无线网络的能源和资源有限,受发展限制。困难包括增加的RF频谱饱和度和有效的路径发现。依靠形式通信模型的认知无线网络开发了新的策略来减轻频谱的低效使用。认知度概念在通信中的首次应用集中于利用频谱利用的动态性(认知无线电),尽管如此,预计在“认知网络”框架内将在整个网络范围内部署此类概念,认知过程将在此过程中展开。用于支持端到端的网络范围目标(例如QoS)。本文介绍了认知网络的最新技术,并提出了认知网络的框架和体系结构。本文还将讨论自我适应,学习和进化功能的机制,以支持用户/应用程序的端到端目标。

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