Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services

M Xu, H Du, D Niyato, J Kang, Z Xiong… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

Artificial intelligence and blockchain technology for secure smart grid and power distribution Automation: A State-of-the-Art Review

AA Khan, AA Laghari, M Rashid, H Li, AR Javed… - Sustainable Energy …, 2023 - Elsevier
Artificial Intelligence (AI) integrated with Blockchain distributed ledger technology (BDLT)
has become the most attractive research area in the domain of renewable energy and …

Blockchain intelligence for internet of vehicles: Challenges and solutions

X Wang, H Zhu, Z Ning, L Guo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …

Machine and deep learning for resource allocation in multi-access edge computing: A survey

H Djigal, J Xu, L Liu, Y Zhang - IEEE Communications Surveys …, 2022 - ieeexplore.ieee.org
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

Adaptive federated deep reinforcement learning for proactive content caching in edge computing

D Qiao, S Guo, D Liu, S Long… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the aggravation of data explosion and backhaul loads on 5 G edge network, it is difficult
for traditional centralized cloud to meet the low latency requirements for content access. The …

DRL-based adaptive sharding for blockchain-based federated learning

Y Lin, Z Gao, H Du, J Kang, D Niyato… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Blockchain-based Federated Learning (FL) technology enables vehicles to make smart
decisions, improving vehicular services and enhancing the driving experience through a …

Metaopera: A cross-metaverse interoperability protocol

T Li, C Yang, Q Yang, S Lan, S Zhou… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Various metaverse applications have entered our daily life and show a promising trend that
will occupy people's attention in the era of Web3. This makes interoperability across …

Computation offloading for rechargeable users in space-air-ground networks

Y Gong, H Yao, D Wu, W Yuan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Relying on space-air-ground (SAG)-integrated artificial intelligence of everything (AIoE)
networks, massive computation-intensive and latency-sensitive tasks can be efficiently either …

Blockchain-driven optimization of IoT in mobile edge computing environment with deep reinforcement learning and multi-criteria decision-making techniques

K Moghaddasi, M Masdari - Cluster Computing, 2023 - Springer
Abstract The Internet of Things (IoT) presents complex challenges in task offloading,
especially within Mobile Edge Computing (MEC) environments and under conditions of data …

[HTML][HTML] Exploring the integration of edge computing and blockchain IoT: Principles, architectures, security, and applications

T Nguyen, H Nguyen, TN Gia - Journal of Network and Computer …, 2024 - Elsevier
IoT systems are widely used in various applications, including healthcare, agriculture,
manufacturing, and smart cities. However, these systems still have limitations, such as lack …