Forecasting network traffic: A survey and tutorial with open-source comparative evaluation

GO Ferreira, C Ravazzi, F Dabbene… - IEEE …, 2023 - ieeexplore.ieee.org
This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …

ALBRL: Automatic Load‐Balancing Architecture Based on Reinforcement Learning in Software‐Defined Networking

J Chen, Y Wang, J Ou, C Fan, X Lu… - Wireless …, 2022 - Wiley Online Library
Due to the rapid development of network communication technology and the significant
increase in network terminal equipment, the application of new network architecture …

A novel blockchain based secured and QoS aware IoT vehicular network in edge cloud computing

A Ahmed, S Abdullah, S Iftikhar, I Ahmad, S Ajmal… - IEEE …, 2022 - ieeexplore.ieee.org
A software-defined vehicular network is made up of an IoT (Internet of Things) based
vehicular ad-hoc network and a software-defined network. For better communication in IoT …

A bandwidth control scheme for reducing the negative impact of bottlenecks in IoT environments: simulation and performance evaluation

O Said - Internet of Things, 2023 - Elsevier
Abstract The Internet of Things (IoT) environment comprises heterogeneous transmission
channels. The statuses of these channels may change rapidly due to dynamic variations in …

Wireless Channel Prediction of GRU Based on Experience Replay and Snake Optimizer

Q Liu, P Wang, J Sun, R Li, Y Li - Sensors, 2023 - mdpi.com
Aiming at the problem of poor prediction accuracy of Channel State Information (CSI)
caused by fast time-varying channels in wireless communication systems, this paper …

Lightweight deep learning-based model for traffic prediction in fog-enabled dense deployed iot networks

AA Ateya, NF Soliman, R Alkanhel… - Journal of Electrical …, 2023 - Springer
Abstract Internet of Things (IoT) is one of the promising technologies, announced as one of
the primary use cases of the fifth-generation cellular systems (5G). It has many applications …

ILBPS: An Integrated Optimization Approach Based on Adaptive Load-Balancing and Heuristic Path Selection in SDN

Z Ye, G Sun, M Guizani - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Load-balancing and path selection optimization are efficient solutions to network
optimization problems. Since the emergence of software-defined network (SDN), more …

A hybrid deep learning model for urban expressway lane-level mixed traffic flow prediction

H Gao, H Jia, Q Huang, R Wu, J Tian, G Wang… - … Applications of Artificial …, 2024 - Elsevier
Precise real-time traffic flow prediction is crucial for route guidance and traffic fine control.
With the development of autonomous driving, the mixed traffic flow state composed of …

A computational method for the load spectra of large-scale structures with a data-driven learning algorithm

XJ Chen, Z Yuan, Q Li, SG Sun, YJ Wei - Science China Technological …, 2023 - Springer
For complex engineering systems, such as trains, planes, and offshore oil platforms, load
spectra are cornerstone of their safety designs and fault diagnoses. We demonstrate in this …

PQTBA: Priority Queue based Token Bucket Algorithm for congestion control in IoT network

P Anitha, HS Vimala, J Shreyas - 2023 IEEE 8th International …, 2023 - ieeexplore.ieee.org
The Internet of Things connects millions of devices in the areas of smart cities, e-health,
transportation, and the military to fulfill a variety of human needs. To offer these services, a …