Mobile Networks and Management

15th EAI International Conference, MONAMI 2025, Chongqing, China, November 28–30, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-39124-7
Verlag: Springer

Buch, Englisch, 575 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

This book constitutes the refereed proceedings of the 15th EAI International Conference on Mobile Networks and Management, MONAMI 2025, held in Chongqing, China, during November 28–30, 2025.

The 43 full papers included in this book were carefully reviewed and selected from 128 submissions. They are organized into topical sections as follows: Wireless Networks, 6G Systems, and Intelligent
Communications; Artificial Intelligence Models, Learning Systems, and Data Analytics; and Computer Vision, Multimedia, IoT, and Smart Applications.

Zielgruppe

Research

Autoren/Hrsg.

Yu, Keping

Shao, Xun

Zhao, Liang

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware

Inhaltsverzeichnis

.- Wireless Networks, 6G Systems, and Intelligent Communications .

.- QoS-Aware Resource Allocation in Multi-beam Satellite Networks: An Adaptive Multi-Agent DRL Approach.
.- A Computation Resource Allocation and Task Offloading Algorithm in VEC Networks Using DVFS.
.- Joint Spectrum and Power Allocation in Dynamic UAV Ad-hoc Networks: A Counterfactual Multi-Agent Reinforcement Learning Approach.
.- Digital Twin-Assisted Offloading and Resource Allocation Optimisation for a Multi-Agent Low-Altitude Economy Networks.
.- Towards Green Communication in 6G Smart Cities: An Energy-Efficient D2D Resource Allocation Framework.
.- Predicted Traffic Segment Scheduling Framework Based on DDPG for 6G Digital Twin Network.

.- SemBugger: Toward Multi-Target Backdoor Attacks on Semantic Communication.
.- CLEAR: Channel Learning and Enhanced Adaptive Reconstruction for Semantic Communication in Complex Time-Varying Environments.
.- Noise Enhanced Joint Signal Detection and Estimation for Clipping System under Neyman-Pearson Criterion.
.- GAT-based SLA-Aware Reinforcement Learning for Service Function Chain Placement.
.- Artificial Intelligence Models, Learning Systems, and Data  Analytics.

.- LLM-based Collaborative AI for Sentiment Analysis and Prediction.

.- An Improved Prediction Method for Telemetry Time Series Based on a Large Language Model.
.- Text Clustering Method Based on a Local Attention Mechanism.
.- ResNet-GRU-Attention Model Based on Distributed Differential Evolution for Traffic Carbon Emission Prediction.
.- Corn yield prediction based on double-layer stacked ensemble learning.
.- MTA-B0: A Lightweight Deepfake Image Detection Method Based on Multi-Teacher–Assistant Collaborative Distillation.

.- A Multidimensional Benchmark Framework for Energy- Efficient Spiking Neural Networks in Fine-Grained Food Recognition.
.- Intra-layer Synchronization Analysis of Multilayer Networks with Pinning Impulsive Control by Step Function Method.
.- Realization of Intra-layer Synchronization in Multi-layer Networks Under Periodic Intermittent Control.
.- Bipartite Synchronization of T-S Fuzzy Coupled Delayed Neural Networks with Signed Graphs under Fast Fixed-Time Control.
.- An Efficient Algorithm for Dynamic Client Selection in Federated Learning.
.- Optimization of Home-to-Home Energy Trading Using Multi-Agent Deep Reinforcement Learning in a Smart Community.
.- WRAformer: Waveform Residual Attention and Phase Feature Modeling Based Transformer for Intermittent Arc Ground Fault Detection.
.- SE-Res-CNN-Based State Prediction For Data-Driven Modeling Of Transformers.
.- SEAE-TrackNet: Squeeze-Excitation Attention Enhanced Tracking Network for Mechanical Characterization of High Voltage Circuit Breakers.
.- Computer Vision, Multimedia, IoT, and Smart Applications .
.- Multi-view Attention-driven Text-to-Image Synthesis.

.- Semantic Reinforcement Generative Adversarial Networks for Text-to-Image Generation and Evaluation.
.- LaneST-Net Spatial-Temporal Lane Detection Network.
.- A Recognition Method for Abnormal Human Behavior in Videos Based on Multi-Scale Feature Extraction and Spatiotemporal Attention Fusion.
.- A Lightweight Multi-Stage Network for Strawberry Detection Based on an Improved RT-DETR.
.- Efficient-DenseNet with a Spatial-Spectral Dual Attention Mechanismfor Accurate Hyperspectral Crop Classification.
.- A WSN Deployment Protocol Using Gaussian Chaos Cheetah Optimization.

.- An Air-Ground Cooperative System Using A* and Spatio-Temporal B-Spline.
.- Toward Dignity-Aware AI: Next-Generation Elderly Monitoring from Fall Detection to ADL.
.- UterUS-CLIP: Semantic Similarity-Enhanced Vision- Language Model for Uterine Ultrasound in 5G Mobile Edge Computing.
.- A Mamba-Based Model for ECG Arrhythmia Classificati on Using Continuous Wavelet Transform.
.- Efficient Task Allocation with Task Coupling in Multi-Skilled Agent Systems.

.- Predicting Plasma Response to RMPs for ELM Control in ITER Using a Multi-Channel Attention Network as a Real-Time Replacement for MARS-F.
.- An Efficient Tag Reading Protocol Based on Distance in Commodity RFID Systems.
.- Efficient RFID Integrity Authentication Protocol with Hash Chain Mechanisms.
.- Quantitative Simulation and Optimal Control Strategy for Condensation Mitigation in Electrical Distribution Cabinets.
.- Investigation of Three-Dimensional Mesh Adaptation and Refinement Methods for Electromagnetic Field Simulation.
.- Research on The Evaluation Method of Frequency Support Capacity of Grid-Forming Electrochemical Energy Storage Unit.