Mobile and Ubiquitous Systems: Computing, Networking and Services : 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part I / edited by Arkady Zaslavsky, Zhaolong Ning, Vana Kalogeraki, Dimitrios Georgakopoulos, Panos K. Chrysanthis.

Format:

Book

Author/Creator:

Zaslavsky, Arkady.

Contributor:

Ning, Zhaolong.

Kalogeraki, Vana.

Georgakopoulos, Dimitrios.

Chrysanthis, Panos K.

Series:

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-822X ; 593

Language:

English

Subjects (All):

Computer networks.

Computer Communication Networks.

Local Subjects:

Computer Communication Networks.

Physical Description:

1 online resource (559 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-63989-8

OCLC:

1450102989