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<p>Call for Book Chapters for the Springer-Verlag Handbook:
“Intelligent Technologies for Internet of Vehicles”<br>
<br>
Series on Internet of Things - Technologies, Communications and
Computing (covered by Scopus)<br>
<br>
Editors:<br>
- Naercio Magaia, University of Lisbon, Portugal<br>
- George Mastorakis, Hellenic Mediterranean University, Greece<br>
- Constandinos X. Mavromoustakis, University of Nicosia, Cyprus<br>
- Evangelos Pallis, Hellenic Mediterranean University, Greece<br>
- Evangelos K. Markakis, Hellenic Mediterranean University,
Greece<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
Topics of interest include but are not limited to:<br>
- Emerging trends of AI and IoV<br>
- Architectures and systems for AI and IoV convergence<br>
- IoV with Machine Learning technologies<br>
- IoV with deep learning schemes<br>
- AI-enabled IoV applications and systems<br>
- Performance evaluation of Deep Learning and IoV-related
mechanisms<br>
- Social computing and Intelligent IoV<br>
- Blockchain-oriented IoV schemes and related topics<br>
- Artificial immune systems and IoV<br>
- Algorithm optimization for intelligent IoV applications<br>
- Intelligent Big Data analytics<br>
- AI-enabled computing<br>
- Deep-learning network approaches for IoV applications and
services.<br>
- Applications of AI for 5G-based IoV resource management<br>
- Intelligent edge/fog-based computing and analysis<br>
- Self-Organizing intelligent systems<br>
- Smart cities and AI applications<br>
- AI in all sort of vehicular communications<br>
- Security, privacy and trust by design and performance
evaluation<br>
- Multimedia QoS, and traffic management in IoV<br>
- Intelligent network estimation techniques<br>
- AI-based schemes for IoV emergency communication networks<br>
- Applications of AI for 5G+ vehicular technologies<br>
<br>
We strongly welcome other topic suggestions, dealing with AI and
IoV and any converged approach.</p>
<p>Schedule & Deadlines</p>
<p>- 15th April 2020 <b>(New Deadline: 15th May 2020)</b><br>
Chapter proposal (max. 2-pages)/Intention to submit a chapter<br>
- 31st July 2020<br>
Full chapter submission via e-mail: <a class="moz-txt-link-abbreviated" href="mailto:itiov@outlook.com">itiov@outlook.com</a> <br>
- 30th September 2020<br>
Review comments <br>
- 31st October 2020<br>
Submission of the revised version <br>
- 30th November 2020 <br>
Final acceptance notification<br>
- 31st December 2020 <br>
Final manuscript<br>
<br>
Manuscript Preparation<br>
- Please follow the manuscript formatting guidelines below and
submit the original version (in Microsoft word) and or LaTex
format as per the guidelines (URL:
<a class="moz-txt-link-freetext" href="http://www.di.fc.ul.pt/~nmagaia/it_iov/T1-book_IT-IoV.zip">http://www.di.fc.ul.pt/~nmagaia/it_iov/T1-book_IT-IoV.zip</a>).<br>
<br>
- Each final manuscript should be about 25-35 pages long
(formatted). Depending on the number of submissions, longer
manuscripts will also be accepted.<br>
<br>
- Please prepare your manuscript according to the following
guidelines:<br>
<br>
<a class="moz-txt-link-freetext" href="http://www.springer.com/gp/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324">http://www.springer.com/gp/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324</a><br>
<a class="moz-txt-link-freetext" href="http://www.di.fc.ul.pt/~nmagaia/it_iov/PermissionReqForm_Springer_2020.doc">http://www.di.fc.ul.pt/~nmagaia/it_iov/PermissionReqForm_Springer_2020.doc</a>
<br>
<br>
- Submit the proposal of your chapter(s) via e-mail:
<a class="moz-txt-link-abbreviated" href="mailto:itiov@outlook.com">itiov@outlook.com</a> <br>
<br>
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