Cyber-security and reinforcement learning—a brief survey
AMK Adawadkar, N Kulkarni - Engineering Applications of Artificial …, 2022 - Elsevier
This paper presents a comprehensive literature review on Reinforcement Learning (RL)
techniques used in Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS) …
techniques used in Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS) …
An overview of machine learning-based energy-efficient routing algorithms in wireless sensor networks
Q Ding, R Zhu, H Liu, M Ma - Electronics, 2021 - mdpi.com
Machine learning (ML) technology has shown its unique advantages in many fields and has
excellent performance in many applications, such as image recognition, speech recognition …
excellent performance in many applications, such as image recognition, speech recognition …
An intelligent fault tolerant data routing scheme for wireless sensor network-assisted industrial internet of things
Safety is a major concern for Industrial 4.0 where different physical parameters are
monitored for avoiding uncertain events in the industry. In industries, natural calamities like …
monitored for avoiding uncertain events in the industry. In industries, natural calamities like …
A reinforcement learning based routing protocol for software-defined networking enabled wireless sensor network forest fire detection
Abstract Critical event reporting Wireless Sensor Networks (WSNs) applications need vital
requirements (extended network lifetime, reliability, real time responsiveness, and …
requirements (extended network lifetime, reliability, real time responsiveness, and …
A survey on large-population systems and scalable multi-agent reinforcement learning
The analysis and control of large-population systems is of great interest to diverse areas of
research and engineering, ranging from epidemiology over robotic swarms to economics …
research and engineering, ranging from epidemiology over robotic swarms to economics …
[HTML][HTML] A novel routing optimization strategy based on reinforcement learning in perception layer networks
Wireless sensor networks have become incredibly popular due to the Internet of Things'(IoT)
rapid development. IoT routing is the basis for the efficient operation of the perception-layer …
rapid development. IoT routing is the basis for the efficient operation of the perception-layer …
An Improved Congestion-Controlled Routing Protocol for IoT Applications in Extreme Environments
The Internet of Things (IoT) has shown its presence in applications that require monitoring
extreme environments, such as wildfires, military operations, and coastal areas, among …
extreme environments, such as wildfires, military operations, and coastal areas, among …
Multi-objective intelligent clustering routing schema for internet of things enabled wireless sensor networks using deep reinforcement learning
Abstract The Internet of Things (IoT IoT) is built on a foundation of wireless sensor devices
that connect humans and physical objects to the Internet and enable them to interact with …
that connect humans and physical objects to the Internet and enable them to interact with …
A systematic literature review of machine learning applications in IoT
Summary The Internet of Things (IoT) is a network of interconnected smart objects having
capabilities that collectively form an ecosystem and enable the delivery of smart services to …
capabilities that collectively form an ecosystem and enable the delivery of smart services to …
F-EVM: improving routing in Internet of Things using fuzzy MAIRCA approach and fuzzy eigenvector method
Many devices are connected to each other using Internet of Things (IoT) technology today.
The capabilities of this technology have highlighted its importance, but significant …
The capabilities of this technology have highlighted its importance, but significant …