Reinforcement learning for real-time optimization in NB-IoT networks
NarrowBand Internet of Things (NB-IoT) is an emerging cellular-based technology that offers
a range of flexible configurations for massive IoT radio access from groups of devices with …
a range of flexible configurations for massive IoT radio access from groups of devices with …
Capsule network assisted IoT traffic classification mechanism for smart cities
With rapid development of compelling application scenarios of the Internet of Things (IoT),
such as smart cities, it becomes substantially important to strengthen the management of …
such as smart cities, it becomes substantially important to strengthen the management of …
Intelligent traffic adaptive resource allocation for edge computing-based 5G networks
The popularity of smart mobile devices has led to a tremendous increase in mobile traffic,
which has put a considerable strain on the fifth generation of mobile communication …
which has put a considerable strain on the fifth generation of mobile communication …
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 …
preferred platform for deploying diverse networks. Compared to traditional networks, SDN …
Edge intelligence-driven joint offloading and resource allocation for future 6G industrial Internet of Things
The 6G will undergo an unprecedented transformation to revolutionize the wireless system
evolution from connected things to connected intelligence. Additionally, data scattered …
evolution from connected things to connected intelligence. Additionally, data scattered …
IoT devices recognition through network traffic analysis
The growing Internet of Things (IoT) market introduces new challenges for network activity
monitoring. Legacy network monitoring is not tailored to cope with the huge diversity of smart …
monitoring. Legacy network monitoring is not tailored to cope with the huge diversity of smart …
Multiagent deep-reinforcement-learning-based virtual resource allocation through network function virtualization in Internet of Things
Resource allocation is a significant task in the emerging area of Internet of Things (IoT). IoT
devices are usually low-cost devices with limited computational power and capabilities for …
devices are usually low-cost devices with limited computational power and capabilities for …
Intelligent SDN traffic classification using deep learning: Deep-SDN
Accurate traffic classification is fundamentally important for various network activities such as
fine-grained network management and resource utilisation. Port-based approaches, deep …
fine-grained network management and resource utilisation. Port-based approaches, deep …
A review of IoT application in a smart traffic management system
MKM Rabby, MM Islam, SM Imon - 2019 5th International …, 2019 - ieeexplore.ieee.org
This paper explores the advancement of smart traffic management system using the Internet
of Things (IoT). It works as middleware on the foundation of the IoT and augments the idea of …
of Things (IoT). It works as middleware on the foundation of the IoT and augments the idea of …
Dynamic task allocation and service migration in edge-cloud iot system based on deep reinforcement learning
Edge computing (EC) extends the ability of cloud computing to the network edge to support
diverse resource-sensitive and performance-sensitive IoT applications. However, due to the …
diverse resource-sensitive and performance-sensitive IoT applications. However, due to the …