Fostering new vertical and horizontal IoT applications with intelligence everywhere

Hung Cao, Monica Wachowicz, Rene Richard, Ching-Hsien Hsu
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Abstract

Intelligence Everywhere is predicated on the seamless integration of INTERNET of Things (IoT) networks transporting a vast amount of data streams through many computing resources across an edge-to-cloud continuum, relying on the orchestration of distributed machine learning models. The result is an interconnected and collective intelligent ecosystem where devices, systems, services, and users work together to support IoT applications. This paper discusses the state-of-the-art research and the principles of the Intelligence Everywhere framework for enhancing IoT applications in vertical sectors such as Digital Health, Infrastructure, and Transportation/Mobility in the context of intelligent society (Society 5.0). It also introduces a novel perspective for the development of horizontal IoT applications, capable of running across various IoT networks while fostering collective intelligence across diverse sectors. Finally, this paper provides comprehensive insights into the challenges and opportunities for harnessing collective knowledge from real-time insights, leading to optimised processes and better overall collaboration across different IoT sectors.
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培育新的垂直和水平物联网应用,智能无处不在
智能无处不在是基于物联网(IoT)网络的无缝集成,通过边缘到云连续体的许多计算资源传输大量数据流,依赖于分布式机器学习模型的编排。其结果是一个相互关联的集体智能生态系统,其中设备,系统,服务和用户协同工作以支持物联网应用。本文讨论了智能无处不在框架的最新研究和原则,以增强智能社会(社会5.0)背景下数字健康、基础设施和交通/移动等垂直领域的物联网应用。它还为横向物联网应用的开发引入了一个新的视角,能够跨各种物联网网络运行,同时促进跨不同部门的集体智慧。最后,本文提供了对利用实时洞察中的集体知识的挑战和机遇的全面见解,从而优化流程并在不同物联网部门之间实现更好的整体协作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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