Autonomous management of energy-harvesting iot nodes using deep reinforcement learning
Reinforcement learning (RL) is capable of managing wireless, energy-harvesting IoT nodes
by solving the problem of autonomous management in non-stationary, resource-constrained …
by solving the problem of autonomous management in non-stationary, resource-constrained …
Power control in Internet of Drones by deep reinforcement learning
Internet of Drones (IoD) employs drones as the internet of things (IoT) devices to provision
applications such as traffic surveillance and object tracking. Data collection service is a …
applications such as traffic surveillance and object tracking. Data collection service is a …
IoT sensor gym: Training autonomous IoT devices with deep reinforcement learning
We describe IoT Sensor Gym, a framework to train the behavior of constrained IoT devices
using deep reinforcement learning. We focus on the main architectural choices to align …
using deep reinforcement learning. We focus on the main architectural choices to align …
Multi-Task Transfer Deep Reinforcement Learning for Timely Data Collection in Rechargeable-UAV-aided IoT Networks
Thanks to their high-flexibility and low-operational cost, unmanned aerial vehicles (UAVs)
can be used to support mission-critical applications in the Internet of Things (IoT). However …
can be used to support mission-critical applications in the Internet of Things (IoT). However …
Wireless power and energy harvesting control in IoD by deep reinforcement learning
Internet of Drones (IoD), which deploys several drones in the air to collect ground
information and send them to the IoD gateway for further processing, can be applied in traffic …
information and send them to the IoD gateway for further processing, can be applied in traffic …
Multi-objective optimization for UAV-enabled wireless powered IoT networks: an LSTM-based deep reinforcement learning approach
S Zhang, R Cao - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
In this letter, we study a multi-objective optimization problem in an unmanned aerial vehicle
(UAV)-enabled wireless powered internet of things (IoT) system. Our aim is to maximize the …
(UAV)-enabled wireless powered internet of things (IoT) system. Our aim is to maximize the …
DeepWiERL: Bringing deep reinforcement learning to the internet of self-adaptive things
F Restuccia, T Melodia - IEEE INFOCOM 2020-IEEE …, 2020 - ieeexplore.ieee.org
Recent work has demonstrated that cutting-edge advances in deep reinforcement learning
(DRL) may be leveraged to empower wireless devices with the much-needed ability to" …
(DRL) may be leveraged to empower wireless devices with the much-needed ability to" …
[HTML][HTML] Deep reinforcement learning based resource management in UAV-assisted IoT networks
YY Munaye, RT Juang, HP Lin, GB Tarekegn, DB Lin - Applied Sciences, 2021 - mdpi.com
The resource management in wireless networks with massive Internet of Things (IoT) users
is one of the most crucial issues for the advancement of fifth-generation networks. The main …
is one of the most crucial issues for the advancement of fifth-generation networks. The main …
Jarvis: Moving towards a smarter internet of things
A Mudgerikar, E Bertino - 2020 IEEE 40th International …, 2020 - ieeexplore.ieee.org
The deployment of Internet of Things (IoT) combined with cyber-physical systems is resulting
in complex environments comprising of various devices interacting with each other and with …
in complex environments comprising of various devices interacting with each other and with …
Power control in energy harvesting multiple access system with reinforcement learning
The Internet of Things (IoT) application has a crucial need for long-term and self-sustainable
operations. Energy harvesting (EH) technique has attracted great attention in IoT as it may …
operations. Energy harvesting (EH) technique has attracted great attention in IoT as it may …
相关搜索
- deep reinforcement iot networks
- reinforcement learning power control
- autonomous management energy harvesting
- reinforcement learning autonomous management
- reinforcement learning energy harvesting
- reinforcement learning iot devices
- deep reinforcement resource management
- resource management iot networks
- reinforcement learning wireless networks
- reinforcement learning layering perspective
- reinforcement learning internet of drones
- deep reinforcement rechargeable uav
- reinforcement learning wireless power