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[HTML][HTML] A comprehensive survey on knowledge-defined networking
Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …
A survey of intelligent end-to-end networking solutions: Integrating graph neural networks and deep reinforcement learning approaches
This paper provides a comprehensive survey of the integration of graph neural networks
(GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions …
(GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions …
Event-triggered adaptive bipartite secure consensus asymptotic tracking control for nonlinear MASs subject to DoS attacks
This paper proposes an adaptive bipartite secure consensus asymptotic tracking control
scheme based on event-triggered strategy for the nonlinear multi-agent systems (MASs) …
scheme based on event-triggered strategy for the nonlinear multi-agent systems (MASs) …
Telemedicine Monitoring System Based on Fog/Edge Computing: A Survey
Telemedicine Monitoring (TM) integrates mobile communication technology and Internet of
Things (IoT) technology for health monitoring and data management. Amidst the escalating …
Things (IoT) technology for health monitoring and data management. Amidst the escalating …
Computation offloading in resource-constrained multi-access edge computing
K Li, X Wang, Q He, J Wang, J Li, S Zhan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Recently, computation offloading methods have greatly improved the Quality of Experience
(QoE) in Multi-access Edge Computing (MEC) by offloading tasks to the edge servers. Since …
(QoE) in Multi-access Edge Computing (MEC) by offloading tasks to the edge servers. Since …
VARF: An incentive mechanism of cross-silo federated learning in MEC
Cross-silo federated learning (FL) is a privacy-preserving distributed machine learning
where organizations acting as clients cooperatively train a global model without uploading …
where organizations acting as clients cooperatively train a global model without uploading …
Toward energy-efficient and cost-effective task offloading in mobile edge computing for intelligent surveillance systems
In the era of pervasive digital connectivity, intelligent surveillance systems (ISS) have
become essential tools for ensuring public safety, protecting critical infrastructure, and …
become essential tools for ensuring public safety, protecting critical infrastructure, and …
Computation offloading for tasks with bound constraints in multiaccess edge computing
Multiaccess edge computing (MEC) provides task offloading services to facilitate the
integration of idle resources with the network and bring cloud services closer to the end …
integration of idle resources with the network and bring cloud services closer to the end …
[HTML][HTML] Graph Neural Networks for Routing Optimization: Challenges and Opportunities
In this paper, we explore the emerging role of graph neural networks (GNNs) in optimizing
routing for next-generation communication networks. Traditional routing protocols, such as …
routing for next-generation communication networks. Traditional routing protocols, such as …
Joint Data Offloading and Energy-Efficient Secure MEC Resource Allocation Method for IoT Device Data in RAN Communication
As information technology rapidly advances, 5G technology, Radio Access Networks (RAN),
and the Internet of Things (IoT) have emerged as the core elements of next-generation …
and the Internet of Things (IoT) have emerged as the core elements of next-generation …