Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives - Université Paris-Est-Créteil-Val-de-Marne
Article Dans Une Revue Sensors Année : 2023

Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives

Hyunbum Kim
Jalel Ben-Othman

Résumé

In this paper, we aim to envision 6G convergent terrestrial and non-terrestrial infrastructure of virtual emotion and epidemic prevention with two differential perspectives: Green AI and Red AI, where Green AI focuses on efficiency and reduction, and Red AI additionally pursues accuracy. By fitting with each perspective, we introduce promising key applications using smart devices, autonomous UAVs, mobile robots and subsequently suggest critical future research directions and opportunities toward new frontiers in intelligent terrestrial and non-terrestrial vehicular networks.

Dates et versions

hal-04030507 , version 1 (15-03-2023)

Identifiants

Citer

Hyunbum Kim, Jalel Ben-Othman, Lynda Mokdad. Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives. Sensors, 2023, 23 (2), pp.806. ⟨10.3390/s23020806⟩. ⟨hal-04030507⟩
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