[Om-announce] CFC_Intelligent Technologies for Internet of Vehicles

[George Mastorakis]

**

*Call for Book Chapters for the Springer-Verlag Handbook:***

*“Intelligent Technologies for Internet of Vehicles”***

*Series on Internet of Things - Technologies, Communications and Computing *

*(covered by Scopus)*

*/Editors/*

*Naercio Magaia, University of Lisbon, Portugal*

*George Mastorakis, Hellenic Mediterranean University, Greece*

*Constandinos X. Mavromoustakis, University of Nicosia, Cyprus*

*Evangelos Pallis, Hellenic Mediterranean University, Greece*

*Evangelos K. Markakis, Hellenic Mediterranean University, Greece*

*
*

**Internet-of-things (IoT) has appeared as a novel and ground-breaking 
technology aiming to provide Internet connectivity to every device that 
have computation, communication and storage capability. Numerous 
applications such as smart health, smart cities, smart industries, and 
smart homes are a result of this phenomenon of connecting smart devices 
with the Internet. In order to provide secure and safe transportation, 
IoT has evolved into a novel concept, also known as the Internet of 
Vehicles (IoV) where smart vehicles equipped with computing, 
communicating and storing capabilities communicate with each other and 
with surrounding infrastructure via vehicle-to-everything (V2X) 
communications. The latter enabled the exchange of critical information 
among smart vehicles including sudden lane changes, steep-curves, black 
ice warnings, and traffic accidents avoidance, therefore assisting the 
drivers in extreme and difficult situations. IoV has an enormous 
potential to provide secure and safer transportation as it enables the 
vehicles to take correct decision in a timely manner. In addition, IoV 
will also have intelligence and learning capabilities to anticipate the 
vehicular users’ intentions. Cloud-based IoV mechanisms provide several 
essential services from routing to content search, spectrum sharing, 
dissemination, attack protection, etc. However, IoV-based objects 
produce a vast volume of information frequently called as Big Data, 
which cannot be easily processed by traditional algorithms and schemes. 
Future smart environments will enable efficient handling and processing 
of Big Data that is generated by the associated objects for an effective 
communication and co-operation among them.

In addition, Artificial Intelligence (AI) will play a crucial role in 
such environments, enabling for smarter services, applications, business 
processes and social interaction among the IoV objects. In this respect, 
a great potential exists for advanced technological solutions combined 
with AI and IoV-enabled capabilities. AI mechanisms applied in IoV 
environments can be exploited in smart cities to analyze drivers’ 
actions via data gathered and/or exchanged by enabled V2X vehicles’ 
Electronic Control Unit (ECU) and microcontrollers. AI will play a 
significant role in future IoV applications and infrastructures, by 
providing insights from collected data. This capability will enable the 
identification of patterns and will allow operational predictions with 
higher accuracy in small time periods. AI applications for smart 
vehicles will also enable businesses to develop new products, reduce 
possible risks and increase efficiency during the production time, by 
predicting failures that are usually non-detectable by humans.

The future of the implementation of AI-powered IoV infrastructures 
depends on the effective solutions to a number of technical challenges 
that such paradigms introduce. These challenges include intelligent 
sensor capabilities improvement and integration, 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 IoV scenarios. Some initiatives try to incorporate Artificial 
Intelligence schemes in IoV environments, but new frameworks have to be 
defined. In fact, the approach of IoV is to find the potential benefits 
of AI, in order to build extensive ecosystems, for increasing the number 
of automated services and their value. This Book aims to gather recent 
research works in emerging Artificial Intelligence methods for 
processing and storing the data generated from cloud-based Internet of 
Vehicles infrastructures. In this context, the major subjects of the 
proposed book will cover the analysis and the development of AI-powered 
mechanisms in future IoV applications and architectures.

Topics of interest include but are /_not limited_/ to:

•Emerging trends of AI and IoV

•Architectures and systems for AI and IoV convergence

•IoV with Machine Learning technologies

•IoV with deep learning schemes

•AI-enabled IoV applications and systems

•Performance evaluation of Deep Learning and IoV-related mechanisms

•Social computing and Intelligent IoV

•Blockchain-oriented IoV schemes and related topics

•Artificial immune systems and IoV

•Algorithm optimization for intelligent IoV applications

•Intelligent Big Data analytics

•AI-enabled computing

•Deep-learning network approaches for IoV applications and services.

•Applications of AI for 5G-based IoV resource management

•Intelligent edge/fog-based computing and analysis

•Self-Organizing intelligent systems

•Smart cities and AI applications

•AI in all sort of vehicular communications

•Security, privacy and trust by design and performance evaluation

•Multimedia QoS, and traffic management in IoV

•Intelligent network estimation techniques

•AI-based schemes for IoV emergency communication networks

•Applications of AI for 5G+ vehicular technologies

/We strongly welcome _other topic suggestions,_ dealing with AI and 
//IoV and any converged approach./


    _Schedule & Deadlines_

·*_15^th April 2020_*
Chapter proposal (max. 2-pages)/Intention to submit a chapter

·*_31^st July 2020_*
Full chapter submission via e-mail: itiov at outlook.com 
<mailto:itiov at outlook.com>

·*_30^th September 2020_*
Review comments

·*_31^st October 2020_*
Submission of the revised version

·*_30^th November 2020 _*
Final acceptance notification

·*_31^st December 2020_**__*
Final manuscript


    _Manuscript Preparation_

  * Please follow the manuscript formatting guidelines below and submit
    the original version (in */Microsoft word/*) and or */LaTex/* format
    as per the guidelines (URL:
    http://www.di.fc.ul.pt/~nmagaia/it_iov/T1-book_IT-IoV.zip).
  * Each final manuscript should be about 25-35 pages long (formatted).
    Depending on the number of submissions, longer manuscripts will also
    be accepted.
  * Please prepare your manuscript according to the following guidelines:

http://www.springer.com/gp/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324

http://www.di.fc.ul.pt/~nmagaia/it_iov/PermissionReqForm_Springer_2020.doc

  * Submit the proposal of your chapter(s) via e-mail: itiov at outlook.com

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