Internet Protocol Stack Dataset

The rapid evolution of communication networks and the ever-increasing demand for efficient data transfer have led to the development of cognitive networking, which aims to enhance network performance through intelligent and adaptive protocols. To facilitate research and development in this domain, we present a comprehensive dataset detailing the parameters of a Network Protocol Stack which can be used to develop a Cognitive Network Protocol Stack designed for efficient networking. Through the examination of various scenarios involving both mobile and stationary nodes, data has been gathered using a network simulator to assess protocol stack parameters and their impact on network performance metrics. The dataset can be used to evaluate and compare the extent to which each parameter affects these network performance metrics.随着通信网络的快速演进，以及高效数据传输需求的持续增长，认知网络（Cognitive Networking）应运而生，其旨在通过智能自适应协议提升网络性能。为推动该领域的研究与开发，本研究公开了一份全面涵盖网络协议栈（Network Protocol Stack）各项参数的数据集，该数据集可用于构建面向高效组网的认知网络协议栈（Cognitive Network Protocol Stack）。本研究通过涵盖移动节点与静态节点的多种组网场景，借助网络模拟器采集实验数据，以评估协议栈参数及其对网络性能指标（Network Performance Metrics）的影响。该数据集可用于评估并对比各参数对上述网络性能指标的影响程度。

搜集汇总

背景与挑战

背景概述

Internet Protocol Stack Dataset是一个用于认知网络协议栈研究的标准数据集，发布于2023年，包含网络协议栈参数数据，旨在评估参数对网络性能的影响。数据以CSV和XLSX格式提供，涵盖移动和静止节点在不同应用场景（如VoIP和HTTP）下的8种情况，每个文件包含1000个数据点，适用于人工智能、无线网络和机器学习领域的研究。