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首页> 外文期刊>Proceedings of the IEEE >Leveraging Tactile Internet Cognizance and Operation via IoT and Edge Technologies
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Leveraging Tactile Internet Cognizance and Operation via IoT and Edge Technologies

机译：通过物联网和边缘技术利用触觉式互联网认知和运营

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The Tactile Internet (TI) is building on the premise of remote operation in perceived real-time, and enables a plethora of applications that involve immersive interactions. As we build a future for globalizing skills, delivering haptic feedback across continents, and immersing users in remote environments, we are faced with significant challenges in understanding the context of Tactile Internet interactions, which we refer to as tactile cognizance. The challenge of understanding a remote terminals' context impacts not only the quality and depth of haptic feedback, but our ability to deliver perceived real-time operation. That is, as we develop AI techniques to compensate for the inevitable delay in remote operation, we need more information about a terminal's context and interactions to improve our prediction of movement and feedback. The Internet of Things (IoT) is promising to interconnect billions of sensors, and augment multiple tiers of cognition to expedite and fine-tune sensory acquisition from heterogeneous contexts. In this paper, we will survey recent developments in the IoT, and novel techniques for cloudlet-based cyber foraging (i.e., edge computing) to project how Tactile Internet interactions could benefit from IoT contextualization. We present a taxonomy of edge IoT systems designed for rapid data acquisition, with an emphasis on systems that prioritize stringent reliability and latency mandates. This paper builds on edge computing techniques to propose a framework for multi-tiered cognition in the Tactile Internet to feed its signaling systems, and how future TI codecs could embed contextual information in haptic feedback.
机译：触觉互联网（TI）建立在实时感知的远程操作的前提下，并支持涉及沉浸式交互的大量应用程序。当我们为全球化技能建立未来，在各大洲提供触觉反馈以及将用户沉浸在偏远环境中时，我们在理解触觉互联网交互的上下文（我们称为触觉认知）方面面临重大挑战。理解远程终端环境的挑战不仅影响触觉反馈的质量和深度，而且还会影响我们提供感知的实时操作的能力。也就是说，随着我们开发AI技术来补偿远程操作中不可避免的延迟，我们需要有关终端环境和交互的更多信息，以改善对移动和反馈的预测。物联网（IoT）有望互连数十亿个传感器，并增强多层认知，以加快和调整来自异构环境的感官获取。在本文中，我们将调查IoT的最新发展以及基于Cloudlet的网络搜寻（即边缘计算）的新技术，以预测触觉式Internet交互如何从IoT上下文化中受益。我们介绍了专为快速数据采集而设计的边缘物联网系统的分类标准，重点是优先考虑严格可靠性和延迟要求的系统。本文以边缘计算技术为基础，为触觉互联网中的多层认知提出了一个框架，以为其信号系统提供信号，以及未来的TI编解码器如何将上下文信息嵌入触觉反馈中。

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