**
*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: [email protected]
<mailto:[email protected]>
·*_31^st January 2020_*
Full chapter submission via e-mail: [email protected]
<mailto:[email protected]>
·*_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.
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