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Adaptive link-layer intelligence for enhanced ad hoc networking

机译:自适应链路层智能,可增强自组织网络

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摘要

Networked radio systems that utilize self-forming, fault tolerant techniques offer needed communication functions for Homeland Security and Law Enforcement agencies. The use of an ad hoc mesh network architecture solves some of the problems inherent to the wireless physical layer such as interferers, multi-path fading, shadowing, and loss of line-of-site. These effects severely limit the performance of current 802.11 wireless network implementations. This paper describes the use of Adaptive Link-layer Intelligence for Enhanced ad hoc Networking. This technology enhances recognition and characterization of sources of wireless channel perturbations and predicts their effects on wireless link quality. Identifying and predicting channel problems at the link level improves dynamic route discovery, circumvents channel disruptions before they cause a link failure, and increases communications reliability and data rate. First Responders, Homeland Security, and Law Enforcement agencies operating in locations lacking infrastructure, such as Urban Search and Rescue (USAR) operations, can benefit from increased communications reliability in highly impaired channels that are typical in disaster response scenarios.
机译:利用自我形成的容错技术的网络无线电系统为国土安全和执法机构提供了所需的通信功能。自组织网状网络体系结构的使用解决了无线物理层固有的一些问题,例如干扰源,多径衰落,阴影和站点线丢失。这些影响严重限制了当前802.11无线网络实现的性能。本文介绍了如何将自适应链路层智能用于增强型ad hoc网络。该技术增强了无线信道扰动源的识别和特性,并预测了它们对无线链路质量的影响。在链路级别识别和预测信道问题可改善动态路由发现,在导致链路故障之前避免信道中断,并提高通信可靠性和数据速率。在缺乏基础设施的地方(如城市搜索和救援(USAR)操作)中运行的急救人员,国土安全部和执法机构,可以从灾难响应场景中典型的高度受损的通道中提高通信可靠性,从而受益。

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