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
.- Hybrid Wi-Fi and Machine Learning Enabled Indoor Positioning Framework for Smart Campuses and Smart Cities.
.- Evaluation of Rain Attenuation Models and Wavelength Dependence for FSO Systems in Malta's Mediterranean Climate.
.- Implementing ANN for Predicting SNR in Snow-Affected FSO Systems.
.- Enhancing Cybersecurity Awareness through Adaptive, Behavior-Driven Education.
.- Multi-Human Tracking and Detection in Indoor Environments Based on UWB Radar.
.- Impact of Beat Noise and Turbulence on the Detected Intensity of Overlapping Laser Signals in UWOC Systems.
.- ML-Based Anomaly Detection for Mitigating Cyber-Physical Attacks in Healthcare Blockchain Networks.
.- Forecasting IoT network traffic using ARIMA and GARCH time series models.
.- Development of a LoRa-based self-organizing network protocol for collecting telemetry information in remote mountainous regions.
.- B5G transport networks management.
.- Leveraging AI and Machine Learning for Ransomware and Malware Detection in Cloud Environments: A State-of-the-Art Review.
.- Beyond Green Nudging: A Behavioral Ethics Framework for AI-Driven Sustainability in Smart Cities.
.- Fraud Detection in the Open Metaverse: Machine Learning Approaches for Secure Connected Communities.
.- AI for Sustainable Health in Smart Cities: An Empirical Study.
.- Tracking News Discourse Around Ireland's Data Centres: Friction between AI Growth and Sustainability Goals.
.- The Role of AI-Powered Honeypots in Ethical Hacking: A Systematic Review and Future Directions for Detecting Zero-Day Exploits in Cloud Environments.
.- AI-Enhanced Smart Construction Helmet: IoT Safety System with Edge Computing.
.- Enhancing Fog Computing Performance through Machine Learning-Based Resource Prediction: A Practical Evaluation and Comparison.
.- A Performance-Enhanced Framework for Mobile Edge Computing in an integrated 6G network.
.- Smart Prosthetics: Vision, Depth Estimation, and Haptics.
.- Cardiovascular Disease Detection Using Advanced Machine Learning Techniques.
.- Earlier Prediction of Chronic Kidney Disease Using Machine Learning Models.
.- RAGBOT: An AI-Enhanced Web Scraping and Retrieval-Augmented Question Answering System.
.- Blockchain-Enabled Secure Federated Learning for IoMT.
.- Multi-class Segmentation of High Resolution Remote Sensing Imagery using Enhanced U-Net Model.
.- Enhancing Medical Diagnostics With Federated Learning: Secure Model Aggregation Across Hospitals.
.- Quantum-Safe Blockchain Authentication: A Decentralized Approach for Secure Mobility and Roaming Networks.
.- A Secure and Dynamic PQC Key Update Algorithm for Blockchain Wallets.
.- FedAvgM-based Privacy-Preserving Federated Learning for Retinal Blood Vessel Segmentation Using Enhanced U-Net Variants.