A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities
Energy conservation is the primary task in Wireless Sensor Networks (WSNs) as these tiny
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …
Machine learning algorithms for wireless sensor networks: A survey
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …
time applications because of its size, cost-effective and easily deployable nature. Due to …
Energy-efficient intelligent routing scheme for IoT-enabled WSNs
Recently, the Internet of Things (IoT) has attracted much interest in its wide applications,
such as smart healthcare, home automation, transportation, and smart city. In these IoT …
such as smart healthcare, home automation, transportation, and smart city. In these IoT …
Optimizing the lifetime of wireless sensor networks via reinforcement-learning-based routing
In wireless sensor networks, optimizing the network lifetime is an important issue. Most of the
existing works define network lifetime as the time when the first sensor node exhausts all of …
existing works define network lifetime as the time when the first sensor node exhausts all of …
RLBEEP: Reinforcement-learning-based energy efficient control and routing protocol for wireless sensor networks
One of the most important topics in the field of wireless sensor networks is the development
of approaches to improve network lifetime. In this paper, an energy-efficient control and …
of approaches to improve network lifetime. In this paper, an energy-efficient control and …
Optimal path selection using reinforcement learning based ant colony optimization algorithm in IoT-Based wireless sensor networks with 5G technology
Abstract The Internet of Things (IoTs) expanded quickly, giving rise to numerous services,
apps, electronic devices with integrated sensors, and associated protocols, which are still …
apps, electronic devices with integrated sensors, and associated protocols, which are still …
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 …
Intelligent routing algorithm for wireless sensor networks dynamically guided by distributed neural networks
Z Liu, Y Liu, X Wang - Computer Communications, 2023 - Elsevier
Using reinforcement learning to adjust the power balance of sensor nodes dynamically is an
essential approach for extending the lifetime of wireless sensor networks (WSNs), which …
essential approach for extending the lifetime of wireless sensor networks (WSNs), which …
Reinforcement learning based connectivity restoration in wireless sensor networks
Connectivity is a critical prerequisite for the effective operation of data gathering and
forwarding procedures in Wireless Sensor Networks (WSNs). Failure of several sensor …
forwarding procedures in Wireless Sensor Networks (WSNs). Failure of several sensor …