SCAN 2018 - 3rd IEEE INFOCOM Workshop on Advances in Software Defined and Context‐Aware Cognitive Networks 2018 (IEEE SCAN 2018)
Topics/Call fo Papers
Future wireless systems will require a paradigm shift in how they are networked, organized, configured, optimized, and recovered automatically based on their operating situations. With the emergence of software defined networks, dynamic adaptive services and applications are gaining much attention since they allow automatic configuration of devices and their parameters, systems, and services to user's context change. In addition, context awareness, with the help of software defined and cognitive systems, allows customization of operating parameters of devices, users, applications, and networks based on the current context.
Our aim is to promote the development of intelligent networks by creating intelligent framework, protocols and algorithms. The proposed INFOCOM workshop SCAN‐2018 will serve as a forum for researchers from academia, government and industries to exchange ideas and present new results and provide future visions on the software defined and context‐aware cognitive networks.
Topics include, but not limited to:
Architecture and protocols for software defined networks
Big data analytics in software defined and cognitive networks
Reliability, efficiency and routing issues in context‐aware systems
Fundamental limits for autonomic and opportunistic communications
Co‐existence of opportunistic communication networks
Blockchain technology enabled wireless networks
Opportunistic spectrum access in mobile and vehicular networks
Data dissemination techniques in context‐aware systems
Context aware mechanisms and algorithms
Cognition‐driven information processing and decision making
Trust, security, privacy, and reputation
Socio‐economic models for autonomic and opportunistic communications
Cognitive communication and networking
Context based content delivery and adaptive schemes
Network virtualization and software defined networks
Self‐organization, self‐configuration, self‐optimization and self‐recovery
Software defined systems scalability and optimization
Software defined systems challenges and opportunities
Biological‐inspired networking
Our aim is to promote the development of intelligent networks by creating intelligent framework, protocols and algorithms. The proposed INFOCOM workshop SCAN‐2018 will serve as a forum for researchers from academia, government and industries to exchange ideas and present new results and provide future visions on the software defined and context‐aware cognitive networks.
Topics include, but not limited to:
Architecture and protocols for software defined networks
Big data analytics in software defined and cognitive networks
Reliability, efficiency and routing issues in context‐aware systems
Fundamental limits for autonomic and opportunistic communications
Co‐existence of opportunistic communication networks
Blockchain technology enabled wireless networks
Opportunistic spectrum access in mobile and vehicular networks
Data dissemination techniques in context‐aware systems
Context aware mechanisms and algorithms
Cognition‐driven information processing and decision making
Trust, security, privacy, and reputation
Socio‐economic models for autonomic and opportunistic communications
Cognitive communication and networking
Context based content delivery and adaptive schemes
Network virtualization and software defined networks
Self‐organization, self‐configuration, self‐optimization and self‐recovery
Software defined systems scalability and optimization
Software defined systems challenges and opportunities
Biological‐inspired networking
Other CFPs
- 2nd Workshop on Integrating Edge Computing, Caching, and Offloading in Next Generation Networks
- 2nd IEEE International Workshop on Wireless Communications and Networking in Extreme Environments (IEEE WCNEE 2018)
- 11th International Conference on Mobile Multimedia Communications
- 26th European Signal Processing Conference
- 3rd International Conference on Stereo & Immersive Media: Photography and Sound Research
Last modified: 2017-10-22 21:43:35