An Overview on Intelligent Edge Computing for Enhancing CAEV and UAV Charging in 6G ITS

6G networks, characterized by ultra-low latency and ubiquitous computing, herald a new era where Connected and Autonomous Electric Vehicles (CAEVs) and Unmanned Aerial Vehicles (UAVs) are redefining smart mobility. Equipped with real-time data processing, Artificial Intelligence (AI), and seamless connectivity, these vehicles seek efficient charging solutions facilitated by Intelligent Edge Computing (IEC). IEC, through latency reduction and optimized charging processes, promises rapid charging, grid stability, enhanced security, and renewable energy integration for intelligent transportation systems (ITS). This survey comprehensively examines IEC techniques and architectures, uncovering their impact on charging efficiency, security, and reliability within smart mobility frameworks. Through a review of research papers, the survey provides insights into real-world applications and IEC advancements, revealing key challenges and emerging research directions. The survey envisions an efficient, secure, and interconnected 6G-era charging ecosystem, with future directions including ultra-fast charging, renewables integration, enhanced security, standardization, AV-V2X synergy, predictive maintenance, and blockchain transparency, fundamentally reshaping AI-driven smart mobility.

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Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1109/sm63044.2024.10733427
Citations
2
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
2.60
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article

An Overview on Intelligent Edge Computing for Enhancing CAEV and UAV Charging in 6G ITS

Palwasha W. Shaikh, Hussein T. Mouftah
2 citations
Infrared Target Detection Methodologies
2.60
article

An Overview on Intelligent Edge Computing for Enhancing CAEV and UAV Charging in 6G ITS

Palwasha W. Shaikh, Hussein T. Mouftah
article en
2 citations

Abstract

6G networks, characterized by ultra-low latency and ubiquitous computing, herald a new era where Connected and Autonomous Electric Vehicles (CAEVs) and Unmanned Aerial Vehicles (UAVs) are redefining smart mobility. Equipped with real-time data processing, Artificial Intelligence (AI), and seamless connectivity, these vehicles seek efficient charging solutions facilitated by Intelligent Edge Computing (IEC). IEC, through latency reduction and optimized charging processes, promises rapid charging, grid stability, enhanced security, and renewable energy integration for intelligent transportation systems (ITS). This survey comprehensively examines IEC techniques and architectures, uncovering their impact on charging efficiency, security, and reliability within smart mobility frameworks. Through a review of research papers, the survey provides insights into real-world applications and IEC advancements, revealing key challenges and emerging research directions. The survey envisions an efficient, secure, and interconnected 6G-era charging ecosystem, with future directions including ultra-fast charging, renewables integration, enhanced security, standardization, AV-V2X synergy, predictive maintenance, and blockchain transparency, fundamentally reshaping AI-driven smart mobility.

University of Ottawa (CA)
Affordable and clean energy
Openalex Percentile: Top 8%
Infrared Target Detection Methodologies
2.60
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