Call for Book Chapters on Intelligent Wireless Communications

> **
>
> *Call for Book Chapters***
>
> *“Intelligent Wireless Communications”*
>
> *Indexed by Scopus***
>
> */Editors:/*
>
> *George Mastorakis, Hellenic Mediterranean University, Greece*
>
> *Constandinos X. Mavromoustakis, University of Nicosia, Cyprus*
>
> *Jordi Mongay Batalla, National Institute of Telecommunications and 
> Warsaw University of Technology, Poland*
>
> *Evangelos Pallis, Hellenic Mediterranean University, Greece
> *
>
> **
>
> The incredible growth of wireless communication technologies has led 
> to the research in both academia and industry for intelligent 
> technologies to satisfy future users’ requirements. Artificial 
> Intelligence (AI) will play a crucial role in wireless communication 
> environments, enabling for smarter services, applications, business 
> processes and social interaction. AI mechanisms applied in wireless 
> communication can be exploited in smart networking applications and 
> intelligent networks, by providing insights from collected data. This 
> capability will enable the identification of patterns and allow 
> operational predictions with higher accuracy in small time periods. 
> The future of AI-powered wireless networking infrastructures depends 
> on the effective solutions to a number of technical challenges that 
> such paradigms introduce. Challenges include intelligent sensor 
> capabilities improvement, smart Big Data analytics, automated remote 
> data management, as well as open and secure composition of processes, 
> which may be implemented into emerging AI-enabled wireless networking 
> architectures. Some initiatives try to incorporate Artificial 
> Intelligence schemes in wireless communications environments, but new 
> frameworks have to be defined. In fact, the approach of wireless 
> communications is to find the potential benefits of AI, in order to 
> build extensive ecosystems, for increasing the number of automated 
> services and their value. In addition, new wireless communication 
> systems will become ever-more demanding, in respect to performance 
> requirements and AI can be exploited towards alleviating many future 
> challenges. Therefore, it will be important to investigate issues in 
> respect to AI applicability to optimize wireless communication systems 
> performance.
>
> In this respect, this book aims to gather recent research works in 
> emerging Artificial Intelligence methods for processing and storing 
> data, generated from wireless communication infrastructures. The major 
> subjects of the proposed book will cover the analysis and the 
> development of AI-powered mechanisms in future wireless networking 
> applications and architectures. As the first book of its kind, it will 
> address the major new technological developments in the field and will 
> reflect current research trends, as well as industry needs. It will 
> comprise of a good balance between theoretical and practical issues, 
> covering case studies, experience and evaluation reports and best 
> practices, in utilizing AI applications in wireless communication 
> networks. It will also provide technical/scientific information about 
> various aspects of AI technologies, ranging from basic concepts to 
> research grade material, including future directions.
>
> Topics of interest include but are /_not limited_/ to:
>
> ·Algorithm optimization for intelligent wireless and mobile applications
>
> ·Intelligent Big Data analytics
>
> ·IoT with deep learning schemes
>
> ·Web intelligence applications and search
>
> ·AI-enabled cloud computing
>
> ·Context-aware intelligent wireless communications
>
> ·Intelligent data mining and knowledge discovery
>
> ·Deep-learning network approaches for wireless system applications and 
> services.
>
> ·Distributed intelligent systems
>
> ·Machine-learning algorithms for wireless communication technologies
>
> ·Applications of AI for 5G resource management
>
> ·Intelligent edge-based mobile computing and analysis
>
> ·Embedded Intelligence
>
> ·Intelligent social media analytics
>
> ·Intelligent web systems
>
> ·Self-Organizing intelligent systems
>
> ·Smart cities and AI applications
>
> ·Evaluation of AI solutions in wireless communications
>
> ·AI and IoT applications
>
> ·Adaptive content in intelligent services provision
>
> ·Crowd-sensing and AI
>
> ·Social crowd-based filtering using AI techniques
>
> ·AI in all sort of wireless communications
>
> ·Social computing and intelligent IoT
>
> ·Intelligent sensors
>
> ·Mobile smart social networks
>
> ·Security, privacy and trust by design and performance evaluation
>
> ·Mobility, location, and handoff management in smart environments
>
> ·Multimedia QoS, and traffic management in intelligent networks
>
> ·Multiple access in machine-to-machine communication
>
> ·Intelligent network estimation techniques
>
> ·AI-based schemes for wireless emergency communication networks
>
> ·Applications of AI for 5G+ wireless transmission technologies
>
> /We strongly welcome _other topic suggestions,_ dealing with//Cloud 
> and Fog Computing in emerging mobile computing environments./
>
>
>     _Schedule & Deadlines_
>
> ·*_1^st October 2019_*
> Chapter title, authors and abstract via E-mail: mastorakis@gmail.com 
> <mailto:mastorakis@gmail.com>
>
> ·*_31^st January 2020_*
> Full chapter submission via e-mail: mastorakis@gmail.com 
> <mailto:mastorakis@gmail.com>
>
> ·*_31^st March 2020_*
> Review comments
>
> ·*_30^th April 2020_*
> Submission of the revised version
>
> ·*_31^st May 2020_*
> Final acceptance notification
>
>
>     _Manuscript Preparation_
>
> ·Please follow the manuscript formatting guidelines below to submit 
> the original version in */Microsoft Word/* format:
>
> http://www.cs.unic.ac.cy/cmavrom/IETBook/AuthorGuidev1.0.pdf
>
> ·Each final manuscript should be 30 pages long (formatted). Depending 
> on the number of submissions, longer manuscripts will be also accepted.
>