Von: Kapal Dev <kapal.dev@IEEE.ORG>
Gesendet: 6. Oktober 2021 22:46:44 MESZ
An: tccc-announce@COMSOC.ORG
Betreff: [TCCC-ANNOUNCE] [CFP] - IEEE Transactions on Green Communications and Networking

*** Please accept our apologies if you receive multiple copies of this CFP
***



Dear colleagues,



You are cordially invited to submit your latest research results to

*IEEE Transactions on Green Communications and Networking, *

*Special Issue on Green Communication and Networking for Connected and
Autonomous Vehicles*



With the advancements in Internet of Things (IoT) and communication
technologies (5G beyond/6G), Connected and Autonomous Vehicles (CAV) is
eventually being realized and will make a major contribution to the
development of smart mobility systems in the pursuit of green and
sustainable economies. Cooperative driving features allowed by CAVs will
dramatically reduce CO2 emissions, allowing for more environmentally
friendly intelligent, smart and sustainable transportation. More
sophisticated green communication and networking computation technologies
are needed for CAVs environments due to the heterogeneity of networking
organizations, strict implementation specifications, and restricted
resources.

Future CAVs networks would have a greater range of sensors and multi-access
edge settings, allowing for more effective use of various modes of
frequency spectrum. Simultaneously, novel services reduced travel time,
cooperative autonomous driving, reduced maintenance and infrastructure
costs, improved energy efficiency, etc. all require unparalleled high
precision and reliability, ultra-low latency, and wide bandwidth. Even
though Green communication for CAVs is a potential disruptive research
direction that can revolutionize the typical transportation system, it is
not being fully realized as several challenges in CAVs are yet to be
addressed. Some of the critical challenges in the realization of CAVs are
data storage, privacy and security issues, energy optimization of the IoT
sensors in the vehicles, regulatory uncertainties, real time analytics of
the big data generated from CAVs, etc.

This Special Issue solicits high-quality research works from researchers
from academia and industry to propose innovative ideas to address the issue
of energy optimization in CAV networks. Theoretical, experimental studies,
and case studies on energy optimization/green communication in CAV are
welcome. We solicit papers covering various topics of interest that
include, but are not limited to, the following topics:

- Resource Optimization for green communication and networking in CAVs
- Machine, federated, Transfer and deep learning-based models for green
communication and networking in CAVs
- Edge assisted green communication and networking for CAVs
- Edge AI for green communication and networking for CAVs
- Digital Twin for green communication and networking for CAVs
- Intent-based Networking for green communication and networking for CAVs
- Applications of meta-heuristic algorithms for green communication and
networking in CAV
- Energy optimization for 5G and beyond enabled CAVs
- Blockchain/Smart Contracts for energy optimization in CAV
- Efficient routing protocols for energy optimization in CAVs
- Test beds for green communication systems for CAVs
- SDN, VNF, NS for green communication systems for CAVs
- Optimization techniques (Harris Hawk, search and rescue, etc.) for
green communication systems for CAVs


*Submission Guidelines*

Authors need to follow the manuscript format and an allowable number of
pages described at the IEEE TGCN Information for Authors
<https://www.comsoc.org/publications/journals/ieee-tgcn/information-authors>
page.
To submit a manuscript for consideration for the special issue, please
visit the journal submission website at Manuscript Central
<https://mc.manuscriptcentral.com/tgcn>.


*Important Dates*




*Manuscript Deadline: 30 October 2021 First Review Results: 31 December
2021 Second Review Results: June 2022 Publication: September 2022
(Tentative)*


*Guest Editors*

*Dr. Kapal Dev <kapal.dev@ieee.org> (Lead)*
Member, IEEE
Munster Technological University, Ireland

*Prof. Yang Xiao* <yangxiao@ieee.org>
IEEE and IET Fellow
University of Alabama, USA

*Prof. Juan M. Corchado* <jm@corchado.net>
Senior Member, IEEE
University of Salamanca, Spain

*Prof. Guangjie Han* <hanguangjie@ieee.org>
Senior Member, IEEE
Hohai University, China

*Prof. Maurizio Magarini* <maurizio.magarini@polimi.it>
Senior Member, IEEE
Politecnico di Milano, Italy

*Prof. Thippa Reddy Gadekallu* <thippareddy.g@vit.ac.in>
Member, IEEE
Vellore Institute of Technology, India


--

Best,

Kapal Dev, PhD

Senior Researcher| Nimbus Research Centre
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,

Munster Technological University Ireland.
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Associate Editor: Springer Wireless Networks
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Area Editor: Elsevier Physical Communication
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Associate Editor: IET Quantum Communication
<https://digital-library.theiet.org/content/journals/iet-qtc> & IET Networks
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Topic Editor: MDPI Network
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Phone: +353 (0)83 868 8451 | Email: kapal.dev@ieee.org |Web
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