From Spectrum Agility to Network Agility: Proactive and Adaptive Reconfiguration for Reliable Communication in Tactical Networks

H. Zeng, Hongmei Deng, Ke Meng, S. Luo, Xiang Yu, A. Mody, M. Sherman, Jude Muller, Zhenxin Wang
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引用次数: 9

Abstract

In tactical networks reliable communication is a vital military issue that needs to be resolved. A large number of research efforts are currently focused on providing radios with spectrum agility. However, in many cases, spectrum agility is not enough to achieve reliable communications in tactical networks. Instead, mission success often requires network agility -- cognition across the protocol layers for environmental awareness and autonomous reconfiguration -- which is still an unsolved challenge to our best knowledge, and needs to be addressed. Toward this, we have developed a proactive and adaptive cross-layer reconfiguration (PACR) framework for autonomous network adaptation through network monitoring, proactive prediction, network performance characterization, root-cause analysis, and cross-layer negotiation. Although PACR is generically applicable to any radio network, for validation it has been prototyped and demonstrated on two specific networks -- a commercial off-the-shelf (COTS) hardware testbed using IEEE 802.11 WiFi devices, and a military radio testbed using Warfighter Information Network-Tactical (WIN-T) Local Area Waveform (LAW) radios. Through tests and demonstrations, it has been shown that our solution provides cross-layer adaptation demonstrating spectrum as well as network agility, resulting in mission success through cognitive networking.
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从频谱敏捷到网络敏捷:战术网络中可靠通信的主动和自适应重构
在战术网络中,可靠的通信是一个需要解决的重要军事问题。目前,大量的研究工作都集中在提供具有频谱灵活性的无线电上。然而,在许多情况下,频谱敏捷性不足以实现战术网络中的可靠通信。相反,任务成功通常需要网络敏捷性——跨协议层的环境意识和自主重新配置的认知——这仍然是我们最好的知识尚未解决的挑战,需要解决。为此,我们开发了一种主动和自适应跨层重构(PACR)框架,通过网络监控、主动预测、网络性能表征、根本原因分析和跨层协商实现自主网络适应。虽然PACR一般适用于任何无线电网络,但为了验证,它已经在两个特定网络上进行了原型设计和演示——一个使用IEEE 802.11 WiFi设备的商用现货(COTS)硬件试验台,以及一个使用作战人员信息战术网(WIN-T)局部波形(LAW)无线电的军用无线电试验台。通过测试和演示,我们的解决方案提供了跨层自适应,展示了频谱和网络敏捷性,从而通过认知网络实现任务成功。
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