Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

Enabling massive IoT toward 6G: A comprehensive survey

F Guo, FR Yu, H Zhang, X Li, H Ji… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Nowadays, many disruptive Internet-of-Things (IoT) applications emerge, such as
augmented/virtual reality online games, autonomous driving, and smart everything, which …

A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective

A Shakarami, M Ghobaei-Arani, A Shahidinejad - Computer Networks, 2020 - Elsevier
With the rapid developments in emerging mobile technologies, utilizing resource-hungry
mobile applications such as media processing, online Gaming, Augmented Reality (AR) …

Integration of blockchain and edge computing in internet of things: A survey

H Xue, D Chen, N Zhang, HN Dai, K Yu - Future Generation Computer …, 2023 - Elsevier
As an important technology to ensure data security, consistency, traceability, etc., blockchain
has been increasingly used in Internet of Things (IoT) applications. The integration of …

Blockchain and machine learning for communications and networking systems

Y Liu, FR Yu, X Li, H Ji… - … communications surveys & …, 2020 - ieeexplore.ieee.org
Recently, with the rapid development of information and communication technologies, the
infrastructures, resources, end devices, and applications in communications and networking …

Cooperative computation offloading and resource allocation for blockchain-enabled mobile-edge computing: A deep reinforcement learning approach

J Feng, FR Yu, Q Pei, X Chu, J Du… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is a promising paradigm to improve the quality of
computation experience of mobile devices because it allows mobile devices to offload …

A survey of blockchain and artificial intelligence for 6G wireless communications

Y Zuo, J Guo, N Gao, Y Zhu, S Jin… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …

A blockchain-based scheme for secure data offloading in healthcare with deep reinforcement learning

Q He, Z Feng, H Fang, X Wang, L Zhao… - … /ACM Transactions on …, 2023 - ieeexplore.ieee.org
With the widespread popularity of the Internet of Things and various intelligent medical
devices, the amount of medical data is rising sharply, and thus medical data processing has …

A survey on the computation offloading approaches in mobile edge/cloud computing environment: a stochastic-based perspective

A Shakarami, M Ghobaei-Arani, M Masdari… - Journal of Grid …, 2020 - Springer
Fast growth of produced data from deferent smart devices such as smart mobiles, IoT/IIoT
networks, and vehicular networks running different specific applications such as Augmented …

Resource pricing and allocation in MEC enabled blockchain systems: An A3C deep reinforcement learning approach

J Du, W Cheng, G Lu, H Cao, X Chu… - … on Network Science …, 2021 - ieeexplore.ieee.org
When using blockchain in mobile systems, computation intensive mining tasks pose great
challenges to the processing capabilities of mobile miner equipment. Mobile edge …