Conference Information
QSHINE 2021: International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness
Submission Date:
2021-06-10 Extended
Notification Date:
Conference Date:
CORE: b   QUALIS: b2   Viewed: 10442   Tracked: 4   Attend: 4

Call For Papers

Heterogeneous networking has long been the focus of computer network and communications researchers worldwide. Since 2004, QSHINE has been established as the primary venue for researchers and practitioners to present novel ideas on heterogeneous networking related subjects, particularly for quality, experience, reliability, security and robustness of heterogeneous networking. QSHINE 2021 sets the goal to be a high-quality conference and an international forum for presentation and discussion of cutting-edge research in the field. The scope of QSHINE 2021 covers both newest theoretical and practical research topics to address the challenges from both the trending application requirements and the communication technologies.

Original submissions, not under any concurrent reviews, are solicited in all areas related to heterogeneous wired, wireless and hybrid networks varying from network theories and models, emerging networks and applications, network heterogeneous computing, signal and data processing, security and privacy in networks, and artificial intelligence and machine learning in networks.

Topics of interest include, but are not limited to:

Network Theories and Models
Quality of Service (QoS) Provisioning: Architectures, Protocols and Mechanisms
Quality of Experience (QoE): User-perceived Quality, Cost-sensitive Experience
Reliability and Scalability: Performance, Adaptation, Cognition, and Extensibility
Cross-layer Design, Optimization and Implementation: Spectrum/ Energy Efficiency
Robustness: Fault/ Disruption/ Disaster-tolerance, Resilience, Survivability
Emerging Networks and Applications
Next Generation Networks
Ubiquitous Wireless Communication Networks
5G/ B5G Mobile Networks
Software Defined Networks (SDN)
Network Virtualization and Cloud Computing
Distributed Computing Networks
Edge Communications, Mobile Cloud Computing and Fog Computing
Internet of Things (IoT) and Wireless Sensor Networks
Internet of Vehicles (IoV) and Low Latency Communication Networks
Social Networks, Opportunistic Networks and Other Novel Relationship Networks
Smart Utility Networks
Green Communication Networks
Network Solutions to Address COVID-19
Network Heterogeneous Computing
Analogue/Digital Conversion System
High Performance Embedded Systems
Heterogeneous Resources Virtualization Frame
Performance Modelling and Analysis Tools
Functional Simulation and Physical Testbed Tools
Signal and Data Processing
Decoding and Encoding
Modulation and Diversity
Signal Detection and Parameter Estimation
Image and Video Signals Processing
Audio and Speech Signals Processing
Wireless Communication Signals Processing
Array Signals Processing
Biomedical Signal processing
Data mining and Pattern recognition
Information Filtering and Fusion
Big data Processing
Security and Privacy in Networks
Intrusion detection
Disaster Recovery and Invulnerability
Encryption, Authentication and Availability Assurance
Hardware Forensics
Security Protocols
Emerging Blockchain Technologies
Artificial Intelligence and Machine Learning in Networks
Online Computational Intelligence in Super-large Scale
Computer Aided Diagnosis System in Medical Networks
Cyber Infrastructure Architectures in Traffic Networks
Real-time decision and Automation in Swarm
Simultaneous Localization and Mapping in Vehicle Networks
Wearable and Implantable Devices in Human Engineering
Flexible Production Line in Manufacturing Engineering
Distributed Machine Learning and Federated Learning
Last updated by Dou Sun in 2021-05-24
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