Comprehensive review on congestion detection, alleviation, and control for IoT networks

P Anitha, HS Vimala, J Shreyas - Journal of Network and Computer …, 2023 - Elsevier
Abstract Context: The Internet of Things (IoT) comprises various computing devices that
operate on a non-standard platform and can connect to wireless networks to transmit data …

Deep Reinforcement Learning perspectives on improving reliable transmissions in IoT networks: Problem formulation, parameter choices, challenges, and future …

M Alipio, M Bures - Internet of Things, 2023 - Elsevier
The majority of communication protocols used in IoT networks for caching and congestion
control techniques were rule-based which implies that these protocols are dependent on …

[HTML][HTML] A machine learning based distributed congestion control protocol for multi-hop wireless networks

JPA León, LJ de la Cruz Llopis, FJ Rico-Novella - Computer Networks, 2023 - Elsevier
The application areas of multi-hop wireless networks are expected to experience sustained
growth in the next years. This growth will be further supported by the current possibility of …

A reinforcement learning-based congestion control approach for V2V communication in VANET

X Liu, BS Amour, A Jaekel - Applied Sciences, 2023 - mdpi.com
Vehicular ad hoc networks (VANETs) are crucial components of intelligent transportation
systems (ITS) aimed at enhancing road safety and providing additional services to vehicles …

High minimum inter-execution time sigmoid event-triggered control for spacecraft attitude tracking with actuator saturation

H Xie, B Wu, F Bernelli-Zazzera - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper investigates the attitude tracking problem for spacecraft with limited
communication, network congestion, unknown model parameters, actuator saturation, and …

Towards AI-enabled traffic management in multipath TCP: A survey

SJ Siddiqi, F Naeem, S Khan, KS Khan… - Computer Communications, 2022 - Elsevier
Numerous applications on the web use transmission control protocol (TCP) as a transport
protocol to ensure efficient and fair sharing of network resources among users. With the …

ACC-RL: Adaptive congestion control based on reinforcement learning in power distribution networks with data centers

T Huang, X Lu, D Zhang, H Cheng, P Dong, L Zhang - Energies, 2023 - mdpi.com
Modern data center power distribution networks place greater demands on the stability and
reliability of power supply. Growing network computing demands and complex network …

PPO-based PDACB traffic control scheme for massive IoV communications

H Zhang, M Jiang, X Liu, X Wen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traffic control is regarded as a key issue to alleviate congestion in internet of vehicles (IoV)
machine-type communications (MTC). Recently, many traffic control schemes have been …

Assessing spatial variations of traffic congestion using traffic index data in a developing city: lessons from Johannesburg, South Africa

T Moyo, S Mbatha, OO Aderibigbe, T Gumbo… - Sustainability, 2022 - mdpi.com
The COVID-19 pandemic has created unforeseen effects in public transport and the mobility
of people in cities globally. Johannesburg, being a developing city in one of the most …

A Reinforcement Learning Congestion Control Algorithm for Smart Grid Networks

AR Andrade-Zambrano, JPA León… - IEEE …, 2024 - ieeexplore.ieee.org
Modern electrical systems are evolving with data communication networks, ushering in
upgraded electrical infrastructures and enabling bidirectional communication between utility …