Internet of Things, Smart Spaces, and Next Generation Networks and Systems
Description
This two-volume set constitutes the refereed proceedings of the 25th International Conference on Next Generation Wired/Wireless Networking, NEW2AN 2025, and the 18th Conference on Internet of Things and Smart Spaces, ruSMART 2025, held in Abu Dhabi, United Arab Emirates, during November 2025.
The 55 full papers included in the joint proceedings were carefully reviewed and selected from 178 submissions. They address various aspects of next-generation data networks, with special attention to advanced wireless networking and applications. In particular, novel and innovative approaches to performance and effciency analysis of 5G and beyond systems, advanced queuing theory, and machine learning are demonstrated. Additionally, the papers focus on the Internet of Things, optics, signal processing, as well as digital Economy and business aspects.
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Content
.- Method for processing data sequences based on multi-level models in robotic systems.
.- Comparative analysis of priority service scenarios within the NS framework.
.- Comparison of two models with non-ordinary arrival process to analyze the cluster of the DECT-2020 network.
.- Reproducible Research in Network Modeling.
.- End-to-end Delay Analysis for an Integrated Access and Backhaul Network.
.- Versatile Beamforming in Millimeter-Wave 5G Mobile Networks.
.- Congestion Mitigation Mechanism for NB-IoT Systems Serving Event-Detection Applications.
.- Edge-AI Enabled Fraud Detection with Permissioned Blockchain in 5G-Connected Mobile Banking.
.- Physics-Informed Neural Network for Real-Time mmWave Channel Impulse-Response Prediction in Urban Microcells.
.- Holo-Artisan: A Personalized Multi-User Holographic Experience for Virtual Museums on the Edge Intelligence.
.- On Enhancing Anomaly Detection in X-Ray Baggage Inspection Using Persistence Homology.
.- Architecture Schema for Bulk Qubits Teleportation using the Fastest Quantum Random Access Memory.
.- When Service Chain Orchestration Meet Network Service Lifecycle Management.
.- DeepSliceNet: A Deep Learning Framework for Network Slice Type Prediction with Augmentation and Overfitting Control.
.- Edge-AI-Driven Photovoltaic Energy Optimization Systems for Renewable Network Infrastructure.
.- A Delay-Aware Queuing Model for Performance Analysis of Service Migration in MEC-Cloud Environments.
.- Federated Learning for IoT: A Privacy-Preserving Approach to Intelligent Edge Systems.
.- SOAP: SAve and PrOtect Real-Time Wildfire using Multi-Model Deep Learning Techniques.
.- PRO SPEEDY: Achieving Speed with Precision using a Lightweight CNN-Mobile Vision Transformer Model for Brain Tumor Classification .
.- Exploring Long-Run Relationship between Digital Payment Systems and Indian Economy.
.- Soft-PINN: A Physics-Informed Approach to Capacity-Aware Traffic Forecasting.
.- The Transport Coding Model for Delay Reduction in Communication Networks using OMNET++ toolkit.
.- An Ensemble SHAP framework for Interpretable Intrusion Detection in IoT Environment.
.- YOLOv8-Based Deep Learning System for Underground Pipeline Detection using GPR B-Scans.
.- Comparative Analysis of Image Enhancement Methods under Hazy Weather for Autonomous Driving.
.- Sustainable Artificial Intelligence-Powered Home Waste Sorting and Management.