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 …

A computation task offloading scheme based on mobile-cloud and edge computing for wbans

R Zhang, C Zhou - ICC 2022-IEEE International Conference on …, 2022 - ieeexplore.ieee.org
The rapid development of Wireless Body Area Networks (WBANs) has brought revolutionary
changes to the healthcare system. However, due to the shortcomings of the sink node with …

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 …

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 backscatter-aided data offloading in mobile edge computing

S Gong, Y Xie, J Xu, D Niyato, YC Liang - IEEE Network, 2020 - ieeexplore.ieee.org
Wireless network optimization has been becoming very challenging as the problem size and
complexity increase tremendously, due to close couplings among network entities with …

A Novel Energy Efficient hybrid Meta‐heuristic Approach (NEEMA) for wireless body area network

S Sharma, VM Mishra… - International Journal of …, 2022 - Wiley Online Library
The technological progression in the area of Wireless Body Area Network (WBAN) has
made it possible to design various sensing modules operating for detecting the …

Joint optimization of power control and time slot allocation for wireless body area networks via deep reinforcement learning

L Wang, G Zhang, J Li, G Lin - Wireless Networks, 2020 - Springer
E-healthcare system based on wireless body area network (WBAN) promises to produce
potential benefits in health-care industry. A major issue of such an on-body networked …

[HTML][HTML] Energy efficient sustainable wireless body area network design using network optimization with smart grid and renewable energy systems

MM Kamruzzaman, O Alruwaili - Energy Reports, 2022 - Elsevier
Technological advancements have made intelligent monitoring devices such as integrated
circuits and wireless communications smaller, lighter, and more energy-efficient. When …

Joint offloading and resource allocation using deep reinforcement learning in mobile edge computing

X Zhang, X Zhang, W Yang - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
Mobile edge computation offloading (MECO) has recently emerged as a promising method
to support computation-intensive and latency-sensitive applications, significantly saving the …

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 …