首页> 外文会议>Communications Conference-MILCOM 2008, 2008 IEEE Military >Tenet (tactical edge network emulation tool): A tool for connectivity analysis for tactical scenario
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Tenet (tactical edge network emulation tool): A tool for connectivity analysis for tactical scenario

机译:Tenet(战术边缘网络仿真工具):用于战术方案的连通性分析的工具

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摘要

Unlike the fixed networks, the scenarios and field conditions for tactical networks are dynamic and hard to predict or model. This is because of the complexities and uncertainties involved in forecasting the node distribution, communications demand pattern, theater terrain characteristics, mobility of the platforms, radios and frequencies available, availability of relay and gateway nodes, presence of jammers and their characteristics, among other factors. As more and more warfighting functions rely on netcentric communications capabilities, it is important to rigorously analyze the expected performance of communications networks. In this paper we describe a methodology for tactical scenario development and physical layer connectivity analysis using a modeling and simulation tool named TENET (Tactical Edge Network Emulation Tool). This modeling and simulation methodology quantifies network connectivity among other physical layer network characteristics, as a function of time. This tool has been used for various Service specific network studies [1], as well as for Joint networks and has provided significant insights for developing more robust architectures, evaluating topology control algorithms, acquisition decisions, and for setting future technology direction. Previously published results of this tool [1] were limited to static, homogenous networks while current results include true physics based mobility and heterogeneous network architectures.
机译:与固定网络不同,战术网络的场景和现场条件是动态的,难以预测或建模。这是因为在预测节点分布,通信需求模式,剧院地形特征,平台的移动性,可用的无线电和频率,可用的中继和网关节点,中继器和网关节点的可用性,干扰的存在及其特征等方面涉及复杂性和不确定性。随着越来越多的作战功能依赖以网络为中心的通信功能,严格分析通信网络的预期性能非常重要。在本文中,我们描述了一种使用名为TENET(战术边缘网络仿真工具)的建模和仿真工具进行战术方案开发和物理层连接性分析的方法。这种建模和仿真方法根据时间来量化其他物理层网络特性之间的网络连接性。该工具已用于各种特定于服务的网络研究[1],以及用于联合网络,并为开发更健壮的体系结构,评估拓扑控制算法,获取决策以及确定未来技术方向提供了重要的见识。该工具先前发布的结果[1]仅限于静态的同构网络,而当前的结果包括基于物理的真实移动性和异构网络体系结构。

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