[HTML][HTML] SDN and NFV for QoE-driven multimedia services delivery: The road towards 6G and beyond networks

AA Barakabitze, R Walshe - Computer Networks, 2022 - Elsevier
The concept for developing the future mobile communication systems has been explored in
recent years with a vision towards 5G and 6G systems. Meeting performance targets such as …

Elephant Flows Detection Using Deep Neural Network, Convolutional Neural Network, Long Short‐Term Memory, and Autoencoder

G Wassie Geremew, J Ding - Journal of Computer Networks …, 2023 - Wiley Online Library
Currently, the widespread of real‐time applications such as VoIP and videos‐based
applications require more data rates and reduced latency to ensure better quality of service …

Ensemble-based deep learning model for network traffic classification

O Aouedi, K Piamrat, B Parrein - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
Network Traffic Classification enables a number of practical applications ranging from
network monitoring to resource management, with security implications as well. Nowadays …

Low-cost traffic sensing system based on LoRaWAN for urban areas

HB Pasandi, A Haqiqat, A Moradbeikie… - Proceedings of the 1st …, 2022 - dl.acm.org
The advent of Low Power Wide Area Networks (LPWAN) has enabled the feasibility of
wireless sensor networks for environmental traffic sensing across urban areas. In this study …

[HTML][HTML] An Adaptive State Consistency Architecture for Distributed Software-Defined Network Controllers: An Evaluation and Design Consideration

R Alsheikh, E Fadel, N Akkari - Applied Sciences, 2024 - mdpi.com
Featured Application A potential application of interest involves applications that can tolerate
some level of inconsistency, such as routing or load-balancing applications. Abstract The …

[HTML][HTML] Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction

M Minea, VL Minea, A Semenescu - Sensors, 2023 - mdpi.com
At present, IoT and intelligent applications are developed on a large scale. However, these
types of new applications require stable wireless connectivity with sensors, based on …

Addressing Security Challenges in Industry 4.0: AVA-MA Approach for Strengthening SDN-IoT Network Security

RU Mageswari, GA MM - Computers & Security, 2024 - Elsevier
In the context of Industry 4.0, the convergence of the Internet of Things (IoT) and Software
Defined Networking (SDN) represents a challenging yet pivotal avenue for bolstering …

[HTML][HTML] Advancing 6G IoT networks: Willow Catkin packet transmission scheduling with AI and Bayesian game-theoretic approach-based resource allocation.

AMA Ibrahim, Z Chen, HA Eljailany, G Yu, AA Ipaye… - Internet of Things, 2024 - Elsevier
The rapid expansion of mobile broadband networks and the proliferation of Internet of
Things (IoT) applications have substantially increased data transmission and processing …

Streaming traffic classification: a hybrid deep learning and big data approach

M Seydali, F Khunjush, J Dogani - Cluster Computing, 2024 - Springer
Massive amounts of real-time streaming network data are generated quickly because of the
exponential growth of applications. Analyzing patterns in generated flow traffic streaming …

Predictive Modeling of Loss Ratio for Congestion Control in IoT Networks Using Deep Learning

H Benadji, L Zitoune, V Vèque - GLOBECOM 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Congestion in the Internet of Things (IoT) networks arises when multiple flows share the
same network, which can significantly impede the performance of IoT networks. This …