Fostering new vertical and horizontal IoT applications with intelligence everywhere

Author:

Cao Hung1ORCID,Wachowicz Monica2,Richard Rene3,Hsu Ching-Hsien4

Affiliation:

1. Analytics Everywhere Lab, University of New Brunswick, Fredericton, Canada

2. Analytics Everywhere Lab, University of New Brunswick, Fredericton, Canada; RMIT University, Melbourne, VIC, Australia

3. National Research Council Canada, Ottawa, Canada

4. Asia University, Taichung, Taiwan

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.

Funder

NSERC/Cisco Industrial Research Chair

NBIF Talent Recruitment Fund

Publisher

SAGE Publications

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ECAvg: An Edge-Cloud Collaborative Learning Approach using Averaged Weights;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

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