Ubiquitous Networking

This book constitutes the refereed proceedings of the 9th International Symposium on Ubiquitous Networking, UNet 2023, held in Clermont-Ferrand, France, during November 0103, 2023.

The 14 full papers included in this book were carefully reviewed and selected from 28 submissions. They were organized in topical sections as follows: artificial intelligence-driven communications; data engineering, cyber security and pervasive services; tactile internet and internet of things; ubiquitous communication technologies and networking.

Inhalt

1 Artificial Intelligence-Driven Communications.- A Comparative Analysis of Sentence Embedding Techniques and LSTM Models in Web Page Classification.- Federated Clouds: A New Metric for Measuring the Quality of Data Anonymization.- Smart City Development Through Collective Intelligence Based on Blockchain-IPFS-Data Analytics.- 2 Data Engineering, Cyber Security and Pervasive Services.- Wearable IoT Sensor Combining Deep Learning for Enhanced Human Activity Recognition in Indoor and Outdoor Settings.- On the Use of Autoencoders in Unsupervised Learning for Intrusion Detection Systems.- A New Strategy for Reducing Latency With Deep Learning in a Fog Computing Environment.- Data Balancing Process to Strengthen a Prediction System for Malaria Control in Senegal.- 3 Tactile Internet and Internet of Things.- Performance Evaluation of LoRa in a Linear Deployment Scenario.- Convergence of Blockchain Enabled IoT Framework: A Survey.- Design of a Circular Patch Antenna Array at 5.8GHz for Enhancing UAV Autonomy in IoT Applications.- 4 Ubiquitous Communication Technologies and Networking.- Toward Best Performances of Node's Radio Module Setting for Use in IoT-Based Maritime Petroleum Waste Recovery Prototype System.- Modelling of Noise Due to a Plasma-Based Contactless Power Transmission System for Ultra-High-Speed Transportation.- A Literature Review on Smart Greenhouse and AI: Paradigms, Opportunities and Open Issues.- Q-Learning-Driven Enhanced NOMA Grant-Free Access for Minimized Delay in URLLC-Enabled Wireless Networks.