Toward software-defined networking-based IoT frameworks: A systematic literature review, taxonomy, open challenges and prospects

S Siddiqui, S Hameed, SA Shah, I Ahmad… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is characterized as one of the leading actors for the next evolutionary
stage in the computing world. IoT-based applications have already produced a plethora of …

[HTML][HTML] Machine learning-based zero-touch network and service management: A survey

J Gallego-Madrid, R Sanchez-Iborra, PM Ruiz… - Digital Communications …, 2022 - Elsevier
The exponential growth of mobile applications and services during the last years has
challenged the existing network infrastructures. Consequently, the arrival of multiple …

Softwarization of UAV networks: A survey of applications and future trends

OS Oubbati, M Atiquzzaman, TA Ahanger… - IEEE Access, 2020 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and
beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the …

From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey

MN Mahdi, AR Ahmad, QS Qassim, H Natiq… - Applied Sciences, 2021 - mdpi.com
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …

Artificial intelligence based load balancing in SDN: A comprehensive survey

AH Alhilali, A Montazerolghaem - Internet of Things, 2023 - Elsevier
In the future, it is anticipated that software-defined networking (SDN) will become the
preferred platform for deploying diverse networks. Compared to traditional networks, SDN …

Multi-connectivity for 5G networks and beyond: A survey

T Sylla, L Mendiboure, S Maaloul, H Aniss, MA Chalouf… - Sensors, 2022 - mdpi.com
To manage a growing number of users and an ever-increasing demand for bandwidth,
future 5th Generation (5G) cellular networks will combine different radio access technologies …

Flowrest: Practical flow-level inference in programmable switches with random forests

ATJ Akem, M Gucciardo, M Fiore - IEEE INFOCOM 2023-IEEE …, 2023 - ieeexplore.ieee.org
User-plane machine learning facilitates low-latency, high-throughput inference at line rate.
Yet, user planes are highly constrained environments, and restrictions are especially …

Towards security automation in software defined networks

NM Yungaicela-Naula, C Vargas-Rosales… - Computer …, 2022 - Elsevier
Abstract Software-Defined Networking (SDN) is a modern paradigm that provides a platform
for implementing reliable, centrally managed, and automated security solutions for …

A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

F Pasandideh, JPJ Costa, R Kunst… - Journal of Field …, 2023 - Wiley Online Library
Unmanned aerial vehicles (UAVs), also known as drones, communicate, collaborate, and
form flying ad hoc networks (FANETs) to perform many different missions, ranging from …

Machine learning-based anomaly detection in NFV: A comprehensive survey

S Zehra, U Faseeha, HJ Syed, F Samad, AO Ibrahim… - Sensors, 2023 - mdpi.com
Network function virtualization (NFV) is a rapidly growing technology that enables the
virtualization of traditional network hardware components, offering benefits such as cost …