A MEC offloading strategy based on improved DQN and simulated annealing for internet of behavior

X Yuan, H Tian, Z Zhang, Z Zhao, L Liu… - ACM Transactions on …, 2022 - dl.acm.org
The Internet of Medical Things (IoMT) and Artificial Intelligence (AI) have brought
unprecedented opportunities to meet massive behavioral data access and personalization …

[HTML][HTML] Task offloading mechanism based on federated reinforcement learning in mobile edge computing

J Li, Z Yang, X Wang, Y Xia, S Ni - Digital Communications and Networks, 2023 - Elsevier
With the arrival of 5G, latency-sensitive applications are becoming increasingly diverse.
Mobile Edge Computing (MEC) technology has the characteristics of high bandwidth, low …

Smart healthcare: RL-based task offloading scheme for edge-enable sensor networks

R Yadav, W Zhang, IA Elgendy, G Dong… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
With the wide application of Internet-of-Medical-Things (IoMTs) or sensor nodes which
equipped with sensors. These networked sensors are used to gather enormous data from …

A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services

Y Chen, S Han, G Chen, J Yin, KN Wang… - … Information Science and …, 2023 - Springer
Wireless body area network (WBAN) is widely adopted in healthcare services, providing
remote real-time and continuous healthcare monitoring. With the massive increase of …

Multi-type task offloading for wireless internet of things by federated deep reinforcement learning

Z Tong, J Wang, J Mei, K Li, W Li, K Li - Future Generation Computer …, 2023 - Elsevier
With the popularity of Internet of Things (IoT) smart devices, the amount of data generated by
these devices has grown rapidly. In these mobile edge computing (MEC) environments, it is …

Intelligent pricing model for task offloading in unmanned aerial vehicle mounted mobile edge computing for vehicular network

AA Baktayan, IA Al-Baltah… - Journal of Communications …, 2022 - hrcak.srce.hr
Sažetak In the fifth-generation (5G) cellular network, the Mobile Network Operator (MNO),
and the Mobile Edge Computing (MEC) platform will play an important role in providing …

Deep Q-learning enabled joint optimization of mobile edge computing multi-level task offloading

P Yan, S Choudhury - Computer Communications, 2021 - Elsevier
In a mobile edge computing (MEC) network, mobile devices could selectively offload tasks to
the edge server (s) to save time and energy. However, we should consider many dynamic …

Energy-saving service offloading for the Internet of Medical Things using deep reinforcement learning

J Jiang, J Guo, M Khan, Y Cui, W Lin - ACM Transactions on Sensor …, 2023 - dl.acm.org
As a critical branch of the Internet of Things (IoT) in the medicine industry, the Internet of
Medical Things (IoMT) significantly improves the quality of healthcare due to its real-time …

Edge-enabled wbans for efficient qos provisioning healthcare monitoring: A two-stage potential game-based computation offloading strategy

X Yuan, H Tian, H Wang, H Su, J Liu… - IEEE Access, 2020 - ieeexplore.ieee.org
Wireless Body Area Network (WBAN) as one of the primary Internet of Things (IoT) provides
real time and continuous healthcare monitoring and has been widely deployed to improve …

Deep reinforcement learning for time-energy tradeoff online offloading in MEC-enabled industrial internet of things

X Jiao, H Ou, S Chen, S Guo, Y Qu… - … on Network Science …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) has recently emerged as a promising technology to boost the
integration ability of sensing, transmission and computation in industrial Internet of Things …