These two-volume proceedings constitute the refereed post-conference proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2023, held in Melbourne, Australia, during November 14-17, 2023.
The 65 papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The conference papers are organized in topical sections on:
Part I - Tracking and Detection; IoT; Federated learning; Networks; Activity recognition; Security Management; Urban/Mobile Crowdsensing.
Part II - Urban/Mobile Crowdsensing; Edge computing; Crowdsourcing, Platforms and localization; Activity recognition and prediction; AI and machine learning; Mobile edge and fog computing; Mobile augmented reality and applications for mobile computing; interaction technologies; AutoQuitous workshop.
.- Tracking and Detection. .- NoD: Lightweight Continuous Neighbor Discovery on Everyday Devices. .- Decentralized Collaborative Inertial Tracking. .- High-Performance Features in Generalizable Fingerprint- based Indoor Positioning. .- SCORE: Scalable Contact Tracing Over Uncertain Trajectories. .- IoT. .- FaultBit : Generic and Efficient Wireless Fault Detection Using the Internet of Things. .- DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data. .- Federated Reinforcement Learning for Automated LoRaWAN Management in Industrial IoT. .- A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications. .- LOADHoC: Towards the Automatic local Distribution of Computation using Existing IoT Devices. .- E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light. .- Federated Learning. .- FedGCS: Addressing Class Imbalance in Long-Tail Federated Learning. .- FedRC: Representational Consistency Guided Model Uploading Mechanism for Asynchronous Federated Learning. .- RADEAN: A Resource Allocation Model Based on Deep Reinforcement Learning and Generative Adversarial Networks in Edge Computing. .- Networks. .- A Stream Data Service Framework for Real-time Vehicle Companion Discovery. .- KS-Autoformer: An Autoformer-based SOC Prediction Framework for Electric Vehicles. .- Deep Reinforcement Learning-based Multi-Node Collaborative Task Offloading Optimization in 6G Space-Air-Ground Integrated Networks. .- Securing Wireless Communication in Critical Infrastructure: Challenges and Opportunities. .- Activity Recognition. .- Cross-user activity recognition via temporal relation optimal transport. .- SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning. .- A Novel Method for Wearable Activity Recognition with Feature Evolvable Streams. .- Let’s Vibrate with Vibration: Augmenting Structural Engineering with Low-Cost Vibration Sensing. .- Security Management. .- Research on Data Drift and Class Imbalance in Android Malware detection. .- Reputation-based Dissemination of Trustworthy Information in VANETs. .- Reputation Systems for Supply Chains: The Challenge of Achieving Privacy Preservation. .- Data Management in Appendable-block Blockchains: A Case Study for IT Life-cycle Management. .- Exploiting the Potential Anomaly Detection in Automobile Safety Data with Multi-type Neural Network. .- Urban/Mobile Crowdsensing. .- HAUM3: A Height Aware Urban Map Matching Mechanism. .- A resource-efficient approach of GNSS activation for pedestrian monitoring.