Reinforcement-Learning-Based Routing and Resource Management for Internet of Things Environments: Theoretical Perspective and Challenges

A Musaddiq, T Olsson, F Ahlgren - Sensors, 2023 - mdpi.com
Internet of Things (IoT) devices are increasingly popular due to their wide array of
application domains. In IoT networks, sensor nodes are often connected in the form of a …

An in-depth survey on virtualization technologies in 6g integrated terrestrial and non-terrestrial networks

S Ammar, CP Lau, B Shihada - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
6G networks are envisioned to deliver a large diversity of applications and meet stringent
Quality of Service (QoS) requirements. Hence, integrated Terrestrial and Non-Terrestrial …

CNN-based automatic modulation recognition for index modulation systems

M Leblebici, A Çalhan, M Cicioğlu - Expert Systems with Applications, 2024 - Elsevier
Automatic modulation recognition (AMR) has garnered significant attention in both civilian
and military domains, with applications ranging from spectrum sensing and cognitive radio …

Industrial Internet of Things embedded devices fault detection and classification. A case study

A Garcés-Jiménez, A Rodrigues, JM Gómez-Pulido… - Internet of Things, 2024 - Elsevier
Industries transition to the Industry 4.0 paradigm requires solutions based on devices
attached to machines that allow monitoring and control of industrial equipment. Monitoring is …

Machine learning assisted delay minimization in full duplex energy constrained cooperative communication network

SAA Kazmi, MS Iqbal - Ad Hoc Networks, 2023 - Elsevier
Cooperative communication is key in attaining high network throughput and better coverage
area for a wireless powered communication network. The conventional solution …

A task-oriented hybrid routing approach based on deep deterministic policy gradient

Z Sha, R Huo, C Sun, S Wang, T Huang - Computer Communications, 2023 - Elsevier
With the development of communication and transmission technologies, the applications of
Internet of Things (IoT) and telemedicine are increasingly sensitive to network latency. To …

Review on Machine Learning for Intelligent Routing, Key Requirement and Challenges Towards 6G

B Langpoklakpam, LK Murry - Computer Networks and …, 2023 - ojs.wiserpub.com
The constant desire for faster data rates, lower latency, improved reliability, global device
integration, and pervasiveness are some of the factors driving the development of next …

An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning.

J Li, M Ye, L Huang, X Deng, H Qiu, Y Wang… - IEEE …, 2023 - ieeexplore.ieee.org
To address the challenges of obtaining network state information, flexibly forwarding data,
and improving the communication quality of service (QoS) in wireless network transmission …

Computer detection intelligent mining algorithm for software defined networks

Y Hao, Y Fu - Physical Communication, 2024 - Elsevier
The network security (NS) issues of software defined network (SDN) are becoming
increasingly prominent. Traditional computer detection (for convenience, computer detection …