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Exploiting LTE D2D communications in M2M Fog platforms: Deployment and practical issues

机译:利用M2M FOG平台中的LTE D2D通信:部署和实际问题

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Fog computing is envisaged as the evolution of the current centralized cloud to support the forthcoming Internet of Things revolution. Its distributed architecture aims at providing location awareness and low-latency interactions to Machine-to-Machine (M2M) applications. In this context, the LTE-Advanced technology and its evolutions are expected to play a major role as a communication infrastructure that guarantees low deployment costs, plug-and-play seamless configuration and embedded security. In this paper, we show how the LTE network can be configured to support future M2M Fog computing platforms. In particular it is shown how a network deployment that exploits Device-to-Device (D2D) communications, currently under definition within 3GPP, can be employed to support efficient communication between Fog nodes and smart objects, enabling low-latency interactions and locality-preserving multicast transmissions. The proposed deployment is presented highlighting the issues that its practical implementation raises. The advantages of the proposed approach against other alternatives are shown by means of simulation.
机译:雾计算被设想为当前集中云的演变,以支持即将到来的东西革命互联网。其分布式架构旨在提供与机器到机器(M2M)应用程序的位置意识和低延迟相互作用。在此上下文中,LTE-Advanced技术及其演变预计将作为担保低部署成本,即插即用无缝配置和嵌入式安全性的通信基础架构发挥重要作用。在本文中,我们展示了LTE网络如何配置为支持未来的M2M FOG计算平台。特别地,示出了如何利用网络到设备(D2D)通信的网络部署,当前在3GPP内的定义下进行定义,以支持雾节点和智能对象之间的有效通信,从而实现低延迟交互和局部保留组播变速器。提出了拟议的部署,突出了其实际实施提升的问题。通过模拟显示提出的方法对其他替代方案的优点。

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