All Research Papers Published In Computer Networks

Research Article
2
10.1016/j.comnet.2025.111750

D2BFT: A dual Byzantine fault tolerance approach for multi-agent drone surveillance with deep reinforcement learning

Dec 01, 2025
Computer Networks
Viswesh Nanapu + 2 more +2

Research Article
10.1016/j.comnet.2025.111724

SPARE: Selective parameter exchange for efficient cooperative learning in vehicular networks

Dec 01, 2025
Computer Networks
Joannes Sam Mertens + 2 more +2

In vehicular networks, decentralized cooperative learning strategies have gained significant attention due to the lower communication overhead they involve when compared to centralized cooperative learning approaches like Federated Learning. Decentralized solutions enable vehicles to collaboratively train Machine Learning (ML) models by exchanging parameters without relying on a central server. However, conventional model-sharing methods still suffer from high communication overhead and increased vulnerability to poisoning attacks. This paper presents SPARE , a gossip-based cooperative learning protocol that leverages Vehicle-to-Vehicle (V2V) communication to enhance communication efficiency by exchanging selected model parameters. SPARE selects vehicle nodes for model updates and transmits only the most significantly updated layers, reducing redundancy and improving efficiency. This selective exchange minimizes communication resource consumption and enhances privacy, as the complete model is never shared across the network. We assess the proposed approach using a real-world driving dataset, featuring data from multiple drivers along the same route. Experimental results prove that our method achieves efficient learning with significantly lower communication overhead, demonstrating its suitability for deployment in resource-constrained vehicular networks.

Research Article
10.1016/j.comnet.2025.111858

TrafficT5: Multi-stage self-correcting framework for traffic generation

Nov 09, 2025
Computer Networks
Yizhao Huang + 3 more +3

Research Article
10.1016/j.comnet.2025.111829

Artificial intelligence based approaches for vehicular cloud and vehicular fog networks: An overview

Nov 08, 2025
Computer Networks
Tesnim Mekki + 1 more +1

Research Article
10.1016/j.comnet.2025.111652

Blockchain-based cross-domain IoT data sharing: A lightweight, secure edge-assisted approach

Nov 01, 2025
Computer Networks
Kexian Liu + 3 more +3

Research Article
10.1016/j.comnet.2025.111672

Together may be better: A novel framework and high-consistency feature for proxy traffic analysis

Nov 01, 2025
Computer Networks
Yuantu Luo + 3 more +3

Research Article
10.1016/j.comnet.2025.111677

Truthful mechanisms for partial and full allocation in a multi-mapping multi-tasking allocation system in mobile edge computing

Nov 01, 2025
Computer Networks
Xi Liu + 4 more +4

Research Article
10.1016/j.comnet.2025.111696

Explainability analysis based on attribution features for optimizing automatic modulation classification

Nov 01, 2025
Computer Networks
Bo Xu + 4 more +4

Research Article
10.1016/j.comnet.2025.111860

Joint VNF Placement and SFC Scheduling in Cloud-Edge System

Nov 01, 2025
Computer Networks
Meiyan Teng + 4 more +4

Research Article
1
10.1016/j.comnet.2025.111669

A hybrid spatiotemporal LSTM and transformer network for cellular traffic prediction

Nov 01, 2025
Computer Networks
A-Min Li + 1 more +1