AI-based Intelligent Networks – Models and Applications (VSI-ain)

Theme

In recent times, Artificial Intelligence (AI) has been integrated into almost all the Information and Communication Technologies (ICT) and applied in various day-to-day applications. The involvement of AI models, like machine learning and deep learning in networking applications have proven as the significant potential in computer communications, machine vision, autonomous vehicles, and enhanced performance optimization models. In this emerging era of 5G networks and edge computing, features like network resiliency, agility, efficient resource optimization, and security play a crucial role in developing intelligent network applications.

The emerging technologies like Machine Learning (ML) and Deep Learning (DL) inherit a substantial background for automated networking and cognitive management in intelligent network applications, and extend the Quality of Service (QoS) and Quality of Experience (QoE). This motivates intelligent network researchers to embed AI models in the forthcoming intelligent networks built on cognitive, cloud and mobile-edge computing platforms.

This special section aims to address the state-of-the-art theoretical models and practical results of intelligent networks by addressing various AI domains like machine learning and deep learning for network performance optimization, decision making, and control of future generation networks.

The primary focus of this special section is on the application of deep learning tools in domains like smart cities, computer vision, bio-informatics, and knowledge management. The deep learning domain will help intelligent networks to explore the voluminous data and complicated network environments. Further research exploration of this domain will thoroughly address the dynamic and complex future-generation intelligent networks.

Topics of interest include:

• AI for smart network management
• Deep Learning-based network optimization techniques
• Machine Learning-based network security techniques
• Innovative decision making models
• AI-based network modeling and analysis
• Quality of Service and Experience in future communication networks
• Centralized/distributed data processing in computer networks
• Machine Learning-based algorithms for smart networks
• AI-based networks and smart cities
• AI in the cloud and mobile edge networks
• AI-based big data processing in smart networks
• Scalability, resilience, and architecture of AI-enabled network applications
• Deep learning-based network resource optimization
• AI-based autonomic and adaptive networking applications

Important Dates

Manuscript submission deadline: 10th June 2020

First notification of status: 16th August 2020

Second notification of status: 12th October 2020

Final manuscript due: 8th December 2020

Tentative publication date: March 2021

Submission Guidelines

Research articles must not have been published or submitted for publication elsewhere. All articles will be peer-reviewed and accepted based on quality, originality, novelty, and relevance to the theme of the special sectio.

Before submission, authors should refer to the journal’s Author Guidelines, which is available at http://www.elsevier.com/wps/find/journaldescription.cws_home/367/authorinstructions.

Manuscripts must be submitted online at https://www.evise.com/profile/#/COMPELECENG/login by selecting “VSI-ain” from the “Issues” pull-down menu during the submission process.

Guest Editors

Dr. S. Smys, Professor, Department of CSE, RVS Technical Campus, Coimbatore, India. 

Email: smys375@gmail.com

Dr. Robert Bestak, Professor, Czech Technical University in Prague, Czech Republic

Emai: robert.bestak@fel.cvut.cz

Dr. Joy Iong-Zong Chen, Professor, Electrical Engineering, Dayeh University, Taiwan. 

Email: jchen@mail.dyu.edu.tw

Biography

S. Smys received his M.E and Ph.D degrees in Wireless Communication and Networking from Anna University and Karunya University, India, respectively. His main area of research activity is the localization and routing architecture in wireless networks. He serves as an Associate Editor of Elsevier’s Computers and Electrical Engineering (CAEE) Journal, and a Guest Editor of Springer’s MONET Journal.. He served as a reviewer for IET, Springer, Inderscience and Elsevier journals and has published many research articles in refereed journals and IEEE conferences. He has been the General Chair, Session Chair, TPC Chair and Panelist in several conferences. He is a member of the IEEE and a senior member of IACSIT wireless research group. He has been serving as Organizing Chair and Program Chair of several international conferences, and has served in the Program Committees of several international conferences. He works as a professor in the Department of CSE at RVS Technical Campus, Coimbatore, India.

Robert Bestak received the PhD degree in Computer Science from ENST Paris, France (2003) and MSc degree in Telecommunications from Czech Technical University in Prague, CTU, Czech Republic (1999). Since 2004, he has been an Assistant Professor at the Department of Telecommunication Engineering, Faculty of Electrical Engineering, CTU. He took part in several national, EU, and third-party research projects. He is the Czech representative in the IFIP TC6 organization and vice-chair of working group TC6 WG6.8. He serves as Steering and Technical Program Committee member of many IEEE/IFIP conferences (Networking, WMNC, NGMAST, etc.) and he is a member of the editorial board of several international journals (Computers & Electrical Engineering, Electronic Commerce Research Journal, etc.). His research interests include 5G networks, spectrum management and big data in mobile networks.

Joy Iong-Zong Chen was born in Taiwan. He received his B.Sc. degrees in electronics engineering from the National Taiwan Technical University, Taipei, Taiwan, and M.Sc. degrees in electrical engineering from the Da-Yeh University, Chung-hua, Taiwan, in 1985 and 1995 and Ph.D. degree in electrical engineering from National Defense University, Tao-Yuan, Taiwan, in 2001. He is a full significant professor of Department of Communication Engineering Da-Yeh University at Chang-Hua Taiwan. Prior to joining the Da-Yeh University, he worked at the Control Data Company (Taiwan) as a technical manager since Sep. 1985 to Sep. 1996. Dr. Chen has published about 40 international Journal papers form scholar till now, and ever acts as Guest Editor for several famous international Journals. His research interests include AI, IoT Development, Wireless Communications, Spread Spectrum Technical, OFDM Systems, and Wireless Sensor Networks. Dr. Joy I.-Z. Chen owned some patents authorized by the Taiwan Intellectual Property Office (TIPO).