AI models for green communications towards 6G
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
The applicability of reinforcement learning methods in the development of industry 4.0 applications
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …
problems. Our article gives a systematic overview of major types of RL methods, their …
An energy-aware and Q-learning-based area coverage for oil pipeline monitoring systems using sensors and Internet of Things
Pipelines are the safest tools for transporting oil and gas. However, the environmental
effects and sabotage of hostile people cause corrosion and decay of pipelines, which bring …
effects and sabotage of hostile people cause corrosion and decay of pipelines, which bring …
Energy efficient medium access control protocol for data collection in wireless sensor network: A Q-learning approach
In emerging business markets, the data is becoming new gold for the industries. There are
several places such as marketing, manufacturing, and analysis of future trends becoming …
several places such as marketing, manufacturing, and analysis of future trends becoming …
Improving performance metrics in WBANs with a dynamic next beacon interval and superframe duration scheme
The advancement of networking, information, and communication technologies has fueled
the popularity of Wireless Body Area Networks (WBANs) in both medical (remote patient …
the popularity of Wireless Body Area Networks (WBANs) in both medical (remote patient …
AI based service management for 6G green communications
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In current 5G and future 6G era, there is no …
energy overhead and reduce fossil fuel usage. In current 5G and future 6G era, there is no …
Metaheuristic routing: a taxonomy and energy-efficient framework for internet of things
The complex and heterogeneous ecosystem of the Internet of Things (IoT) makes it difficult
to achieve energy-efficient routing because of the power, memory, and processing …
to achieve energy-efficient routing because of the power, memory, and processing …
A Q-learning-based adaptive MAC protocol for Internet of Things networks
CM Wu, YC Kao, KF Chang, CT Tsai, CC Hou - IEEE Access, 2021 - ieeexplore.ieee.org
In Internet of Things (IoT) applications, sometimes the quality of service (QoS) of throughput
for transmitting video or the QoS of bounded delay for control of a sensor node is required. A …
for transmitting video or the QoS of bounded delay for control of a sensor node is required. A …
Duty-cycling techniques in IoT: Energy-efficiency perspective
Being enthused by the stringent energy and processing constraints of the Internet of Things
(IoT) technology, duty cycle becomes the basic mechanism of energy conservation in IoT …
(IoT) technology, duty cycle becomes the basic mechanism of energy conservation in IoT …
Contextual Deep Reinforcement Learning for Flow and Energy Management in Wireless Sensor and IoT Networks
Efficient slot allocation and transmit-sleep scheduling is an effective access control
mechanism for improving communication performance and network lifetime in …
mechanism for improving communication performance and network lifetime in …