Delay-aware resource allocation in fog-assisted IoT networks through reinforcement learning

Q Fan, J Bai, H Zhang, Y Yi, L Liu - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Fog nodes in the vicinity of IoT devices are promising to provision low-latency services by
offloading tasks from IoT devices to them. Mobile IoT is composed by mobile IoT devices …

Energy-aware task allocation for mobile IoT by online reinforcement learning

J Yao, N Ansari - … 2019-2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Fog-aided Internet of Things (IoT) networks provide low latency IoT services by offloading
computational intensive and delay sensitive tasks to the fog nodes, which are deployed …

Task allocation in fog-aided mobile IoT by Lyapunov online reinforcement learning

J Yao, N Ansari - IEEE Transactions on Green Communications …, 2019 - ieeexplore.ieee.org
Fog-aided mobile IoT is proposed to speed up service response by deploying fog nodes at
network edges. We investigate the task allocation in fog-aided mobile IoT networks, where …

Delay and energy aware task scheduling mechanism for fog-enabled IoT applications: A reinforcement learning approach

MR Raju, SK Mothku - Computer Networks, 2023 - Elsevier
With the expansion of the internet of things (IoT) devices and their applications, the demand
for executing complex and deadline-aware tasks is growing rapidly. Fog-enabled IoT …

Resource allocation in fog RAN for heterogeneous IoT environments based on reinforcement learning

A Nassar, Y Yilmaz - ICC 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
Fog radio access network (F-RAN) has been recently proposed to satisfy the low-latency
communication requirements of Internet of Things (IoT) applications. We consider the …

Joint optimization of caching, computing, and radio resources for fog-enabled IoT using natural actor–critic deep reinforcement learning

Y Wei, FR Yu, M Song, Z Han - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
The cloud-based Internet of Things (IoT) develops rapidly but suffer from large latency and
backhaul bandwidth requirement, the technology of fog computing and caching has …

Delay minimized task scheduling in fog-enabled IoT networks

G Zhang, F Shen, Y Zhang, R Yang… - 2018 10th …, 2018 - ieeexplore.ieee.org
Through offloading the computing tasks of the terminal nodes (TNs) to the fog nodes (FNs)
located at the network edge, fog computing is expected to address the unacceptable …

Delay-optimal task offloading for dynamic fog networks

Y Tan, K Wang, Y Yang, MT Zhou - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Fog computing is a promising paradigm to perform low-latency computation for supporting
the internet of things (IoT) applications. It enables provisioning resources and services to be …

Toward developing fog decision making on the transmission rate of various IoT devices based on reinforcement learning

M Mobasheri, Y Kim, W Kim - IEEE Internet of Things Magazine, 2020 - ieeexplore.ieee.org
In recent years, the focus on reducing the delay and the cost of transferring data to the cloud
has led to data processing near end devices. Therefore, fog computing has emerged as a …

QoS-aware fog resource provisioning and mobile device power control in IoT networks

J Yao, N Ansari - IEEE Transactions on Network and Service …, 2018 - ieeexplore.ieee.org
Fog-aided Internet of Things (IoT) addresses the resource limitations of IoT devices in terms
of computing and energy capacities, and enables computational intensive and delay …