Deep reinforcement learning for Internet of Things: A comprehensive survey
The incumbent Internet of Things suffers from poor scalability and elasticity exhibiting in
communication, computing, caching and control (4Cs) problems. The recent advances in …
communication, computing, caching and control (4Cs) problems. The recent advances in …
Agent-based Internet of Things: State-of-the-art and research challenges
The disruptive potentials of the Internet of Things (IoT) entails multifaceted requirements and
development issues (large scale deployments, heterogeneity, cyberphysicality …
development issues (large scale deployments, heterogeneity, cyberphysicality …
Average AoI minimization in UAV-assisted data collection with RF wireless power transfer: A deep reinforcement learning scheme
This article studies the unmanned aerial vehicle (UAV)-assisted wireless powered network,
where a UAV is dispatched to wirelessly charge multiple ground nodes (GNs) by using radio …
where a UAV is dispatched to wirelessly charge multiple ground nodes (GNs) by using radio …
Optimized cluster‐based dynamic energy‐aware routing protocol for wireless sensor networks in agriculture precision
Wireless sensor networks (WSNs) are becoming one of the demanding platforms, where
sensor nodes are sensing and monitoring the physical or environmental conditions and …
sensor nodes are sensing and monitoring the physical or environmental conditions and …
Cooperative communications with relay selection based on deep reinforcement learning in wireless sensor networks
Cooperative communication technology has become a research hotspot in wireless sensor
networks (WSNs) in recent years, and will become one of the key technologies for improving …
networks (WSNs) in recent years, and will become one of the key technologies for improving …
Towards energy efficiency in the internet of wearable things: A systematic review
Personal mobile devices such as smartwatches, smart jewelry, and smart clothes have
launched a new trend in the Internet of Things (IoT) era, namely the Internet of Wearable …
launched a new trend in the Internet of Things (IoT) era, namely the Internet of Wearable …
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 …
Overview of time synchronization for IoT deployments: Clock discipline algorithms and protocols
Internet of Things (IoT) is expected to change the everyday life of its users by enabling data
exchanges among pervasive things through the Internet. Such a broad aim, however, puts …
exchanges among pervasive things through the Internet. Such a broad aim, however, puts …
[HTML][HTML] An energy-efficient distributed adaptive cooperative routing based on reinforcement learning in wireless multimedia sensor networks
D Wang, J Liu, D Yao, I Member - Computer Networks, 2020 - Elsevier
Complex task processing and frequent data communication in Wireless Multimedia Sensor
Networks (WMSN) demand for energy-efficient and Quality of Service (QoS) guarantee to …
Networks (WMSN) demand for energy-efficient and Quality of Service (QoS) guarantee to …
MAC-AODV based mutual authentication scheme for constraint oriented networks
Wireless sensor networks (WSNs) is an infrastructure free organization of various
operational devices. Due to their overwhelming characteristics, these networks are used in …
operational devices. Due to their overwhelming characteristics, these networks are used in …