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.
Authors
- Palwasha W. Shaikh (ORCID: https://orcid.org/0000-0002-3442-5758)
- Hussein T. Mouftah (ORCID: https://orcid.org/0000-0001-7939-7212)
Institutions
- University of Ottawa (CA)
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