Survey on machine learning for intelligent end-to-end communication toward 6G: From network access, routing to traffic control and streaming adaption
The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite
important for network optimization. The current 5G and conceived 6G network in the future …
important for network optimization. The current 5G and conceived 6G network in the future …
State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
Underwater Internet of Things in smart ocean: System architecture and open issues
The development of the smart ocean requires that various features of the ocean be explored
and understood. The Underwater Internet of Things (UIoT), an extension of the Internet of …
and understood. The Underwater Internet of Things (UIoT), an extension of the Internet of …
Machine learning for wireless communications in the Internet of Things: A comprehensive survey
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …
wireless communications than ever before. For this reason, techniques such as spectrum …
Machine learning in wireless sensor networks: Algorithms, strategies, and applications
Wireless sensor networks (WSNs) monitor dynamic environments that change rapidly over
time. This dynamic behavior is either caused by external factors or initiated by the system …
time. This dynamic behavior is either caused by external factors or initiated by the system …
A survey on machine learning in Internet of Things: Algorithms, strategies, and applications
In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
Routing protocols in wireless sensor networks
The applications of wireless sensor networks comprise a wide variety of scenarios. In most
of them, the network is composed of a significant number of nodes deployed in an extensive …
of them, the network is composed of a significant number of nodes deployed in an extensive …
Machine learning for smart environments in B5G networks: Connectivity and QoS
SH Alsamhi, FA Almalki, H Al-Dois… - Computational …, 2021 - Wiley Online Library
The number of Internet of Things (IoT) devices to be connected via the Internet is
overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and …
overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and …
Q-learning-based fuzzy logic for multi-objective routing algorithm in flying ad hoc networks
Flying ad hoc networks (FANETs) that consist of multiple unmanned aerial vehicles (UAVs)
have developed owing to the rapid technological evolution of electronics, sensors, and …
have developed owing to the rapid technological evolution of electronics, sensors, and …
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology
M Abd Elaziz, MAA Al‐qaness, A Dahou… - … : Data Mining and …, 2024 - Wiley Online Library
The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …
technology and is currently under research and development. It is expected to deliver faster …