X Xiong, K Zheng, L Lei, L Hou - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
… ) devices can be processed and analyzed at the network edge. However, the MEC system … by IoTedge applications. Thus, we propose a resource allocation policy for the IoTedge …
S Sheng, P Chen, Z Chen, L Wu, Y Yao - Sensors, 2021 - mdpi.com
… of computing resources at the edge server poses great … machines (VMs) configured at the edge server by maximizing the long-… We leverage deepreinforcement learning (DRL) to solve …
A Jarwan, M Ibnkahla - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
… edge devices to the cloud [13]. To the best of our knowledge, the unknown-state BH selection problem at the edge of IoT … article to explore IoT traffic management at the edge devices …
Q Liu, T Xia, L Cheng, M Van Eijk… - … on Parallel and …, 2021 - ieeexplore.ieee.org
… IoT network dynamic clustering solution with deepreinforcement learning (DRL) for an IoT edge … balancing and computation balancing in IoT networks and edge servers respectively. In …
R Zhao, X Wang, J Xia, L Fan - Physical Communication, 2020 - Elsevier
… , we investigate mobile edge computing (MEC) networks for intelligent internetofthings (IoT), … strategy intelligently through the deepreinforcement learning algorithm. In this algorithm, …
… such as deepreinforcement learning (DRL) in edge-assisted InternetofThings (Edge-IoT) … with a collaborative DRL called C-DRL in Edge-IoT with the aim to obtain two major objectives…
… In this work, we propose the evolution of an existing Edge-IoT architecture to a new … Edge-IoT capabilities. The proposed new architecture contemplates the use of DeepReinforcement …
H Lu, X He, M Du, X Ruan, Y Sun… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
… -oriented computation offloading in edge-enabled IoT [17]. In … a new QoE model in the edge environment. More precisely, we … bring new user experience in edge-enabled IoT, we are the …