Reinforcement-Learning-Based Routing and Resource Management for Internet of Things Environments: Theoretical Perspective and Challenges
Internet of Things (IoT) devices are increasingly popular due to their wide array of
application domains. In IoT networks, sensor nodes are often connected in the form of a …
application domains. In IoT networks, sensor nodes are often connected in the form of a …
Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey
Nowadays, many research studies and industrial investigations have allowed the integration
of the Internet of Things (IoT) in current and future networking applications by deploying a …
of the Internet of Things (IoT) in current and future networking applications by deploying a …
[HTML][HTML] EER-RL: energy-efficient routing based on reinforcement learning
VK Mutombo, S Lee, J Lee, J Hong - Mobile Information Systems, 2021 - hindawi.com
Wireless sensor devices are the backbone of the Internet of things (IoT), enabling real-world
objects and human beings to be connected to the Internet and interact with each other to …
objects and human beings to be connected to the Internet and interact with each other to …
Learning-Based Resource Management for Low-Power and Lossy IoT Networks
A Musaddiq, R Ali, SW Kim… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) networks are key to the realization of modern industries and
societies. A key application of IoT is in smart-grid communications. Smart-grid networks are …
societies. A key application of IoT is in smart-grid communications. Smart-grid networks are …
An intelligent routing for Internet of Things mesh networks
Abstract Internet of Things (IoT) is gaining popularity due to its complex network architecture,
formed by the tremendous connection of objects. Sensors used in different IoT applications …
formed by the tremendous connection of objects. Sensors used in different IoT applications …
[PDF][PDF] Energy-efficient deep Q-network: reinforcement learning for efficient routing protocol in wireless internet of things
S Bhimshetty, AV Ikechukwu - Indonesian Journal of Electrical …, 2024 - researchgate.net
The internet of things (IoT) underscores pivotal real-world applications ranging from security
systems to smart infrastructure and traffic management. However, contemporary IoT devices …
systems to smart infrastructure and traffic management. However, contemporary IoT devices …
Reinforcement learning-enabled cross-layer optimization for low-power and lossy networks under heterogeneous traffic patterns
The next generation of the Internet of Things (IoT) networks is expected to handle a massive
scale of sensor deployment with radically heterogeneous traffic applications, which leads to …
scale of sensor deployment with radically heterogeneous traffic applications, which leads to …
Congestion-aware routing in dynamic iot networks: A reinforcement learning approach
H Farag, Č Stefanovič - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
The innovative services empowered by the Internet of Things (IoT) require a seamless and
reliable wireless infras-tructure that enables communications within heterogeneous and …
reliable wireless infras-tructure that enables communications within heterogeneous and …
A Comprehensive Study on Routing Protocol for IoT-enabled WSNs using Deep Reinforcement Learning Strategy
Internet of Things enabled Wireless Sensor Networks (IoT-enabled WSNs) rely heavily on
routing protocols because of the importance of various system performance parameters …
routing protocols because of the importance of various system performance parameters …
Intelligent IoT connectivity: Deep reinforcement learning approach
In this paper, we propose a distributed solution to design a multi-hop ad hoc Internet of
Things (IoT) network where mobile IoT devices strategically determine their wireless …
Things (IoT) network where mobile IoT devices strategically determine their wireless …