Reinforcement learning based routing in networks: Review and classification of approaches

Z Mammeri - Ieee Access, 2019 - ieeexplore.ieee.org
Reinforcement learning (RL), which is a class of machine learning, provides a framework by
which a system can learn from its previous interactions with its environment to efficiently …

[HTML][HTML] A survey on underwater acoustic sensor network routing protocols

N Li, JF Martínez, JM Meneses Chaus, M Eckert - Sensors, 2016 - mdpi.com
Underwater acoustic sensor networks (UASNs) have become more and more important in
ocean exploration applications, such as ocean monitoring, pollution detection, ocean …

EER‐RL: Energy‐Efficient Routing Based on Reinforcement Learning

VK Mutombo, S Lee, J Lee… - Mobile Information Systems, 2021 - Wiley Online Library
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 …

Computational intelligence-based energy efficient routing protocols with QoS assurance for wireless sensor networks: a survey

T Kaur, D Kumar - International Journal of Wireless and …, 2019 - inderscienceonline.com
Over the decades, Wireless Sensor Networks (WSNs) have reached greatest heights and
started to emerge into various applications, ranging from health care to multimedia …

A Q-Learning based routing approach for energy efficient information transmission in wireless sensor network

X Su, Y Ren, Z Cai, Y Liang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Nowadays, wireless sensor networks have played an important role in many applications. In
these applications, a large number of wireless sensors are deployed in an environment to …

Optimization of reinforcement routing for wireless mesh network using machine learning and high‐performance computing

A Singh, S Prakash, S Singh - Concurrency and Computation …, 2022 - Wiley Online Library
In the modern world, wireless mesh networks (WMN) are widely used in Internet of Things
(IoT) applications. It is a dynamic, infrastructure‐less multihop network with mobility features …

EBR-RL: energy balancing routing protocol based on reinforcement learning for WSN

VK Mutombo, SY Shin, J Hong - Proceedings of the 36th Annual ACM …, 2021 - dl.acm.org
A Wireless Sensor Network (WSN) is a wireless network that monitors physical environment
conditions through resource-constrained sensor nodes and delivers data to a sink node …

[PDF][PDF] Routing protocols based on reinforcement learning for wireless sensor networks: A comparative study

MA Habib, MY Arafat, S Moh - Journal of Advanced Research in …, 2018 - researchgate.net
A carefully designed routing protocol can facilitate wireless sensor networks (WSNs) with
improved performance in terms of end-to-end delay, energy consumption, and packet …

Computational intelligence techniques for energy efficient routing protocols in wireless sensor networks: A critique

MS Lakshmi, KS Ramana, G Ramu… - Transactions on …, 2024 - Wiley Online Library
Abstract Wireless Sensor Networks (WSNs) play a pivotal role in modern data acquisition
systems, but their energy‐efficient operation remains a significant challenge. This work …

A Comprehensive Study on Routing Protocol for IoT-enabled WSNs using Deep Reinforcement Learning Strategy

S Regilan, LK Hema - 2022 Fourth International Conference on …, 2022 - ieeexplore.ieee.org
Internet of Things enabled Wireless Sensor Networks (IoT-enabled WSNs) rely heavily on
routing protocols because of the importance of various system performance parameters …