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Apologies if you received multiple cross-postings of this CFP.
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Call for Papers - Future Internet
"Special Issue on Software-Defined Vehicular Networking"
Deadline: August 31, 2021
https://www.mdpi.com/journal/futureinternet/special_issues/SDVN
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Summary:
Over the past few years, considerable state-of-the-art
advancements in the telecommunications and automotive sectors have
empowered drivers with highly innovative communication and sensing
capabilities, in turn paving the way for the next generation of
Intelligent Transportation System (ITS) which is indispensable for
an efficient deployment of futuristic connected and autonomous
vehicles. Nevertheless, the safety of both vehicular passengers
and vulnerable pedestrians in the context of ITS is of paramount
importance. In this aspect, sharing of timely safety-critical
information and a seamless connectivity with the traffic
management entities is extremely imperative not only for the
purpose of collision mitigation but also for necessary guidance
pertinent to the current and anticipated trajectories and their
corresponding speeds for ensuring an efficacious traffic flow.
Therefore, a secure and low-latent communication architecture is
essential to satisfy the stringent performance req
uirements of safety-critical vehicular applications.
Although conventional vehicular ad hoc networks can offer a
diverse range of safety and non-safety (infotainment) services,
nevertheless, they suffer from inherent shortcomings, including
but not limited to, lower bandwidths, higher end-to-end delays,
and an unbalanced traffic flow. Additionally, modern-day connected
vehicles are being equipped with hundreds of sensors onboard which
has transformed vehicles into an ambient sensing platform, i.e.,
data collection device, thereby paving the way for the connected
cars of the future. It is further anticipated that an average
connected vehicle would be able to generate more than 5 TB of data
for each hour of its driving. Hence, (a) tackling such a flood of
data so that the meaningful information could be processed and
accordingly utilized for vehicular safety applications in an
efficient manner, (b) selecting appropriate radio access
technologies so that the said meaningful information could be
transmitted with high data rates and low end
-to-end delay, and (c) determining where to carry out all of this
processing (i.e., compute and storage) since if sent to the
backhaul would not only increase the network management overhead
but would also compromise the service level objectives of the
safety-critical vehicular applications, is extremely imperative.
To address the above-stated challenges, the notion of
software-defined networking (SDN) is being extensively deployed
for wireless networks, and as of late, the same has been
investigated for vehicular networks by a number of researchers
within academia and industry. This Special Issue, accordingly,
welcomes original contributions to bring forth the
state-of-the-art advancements in the subject landscape. Both
high-quality surveys and technical contributions are welcome for
this Special Issue.
Topics include but are not limited to:
Architectures for software-defined vehicular networks
Software-defined heterogeneous vehicular networks
Security aspects of software-defined vehicular networks
Dynamic controller placement strategies in software-defined
vehicular networks
Machine learning/deep learning strategies for software-defined
vehicular networks
Energy-efficient software-defined vehicular networks
Low latency in software-defined vehicular networks
Integration of SDN and vehicular cloud computing
Caching strategies in (5G-enabled) software-defined vehicular
networks
Integration of SDN and ICN for vehicular networks
Crowd Collaborations for software-defined vehicular networks
Keywords:
Software-defined networks, Vehicular ad hoc networks, Internet of
vehicles, Network security, Resource and mobility management,
Tactile internet.
Submission Instructions:
For detailed submission instructions, please visit
https://www.mdpi.com/journal/futureinternet/special_issues/SDVN.
In case of any questions, please feel free to contact the Guest
Editors.
Best Regards,
Michael Sheng and Adnan Mahmood (Guest Editors)
Department of Computing
Macquarie University, Sydney
NSW 2109, Australia.
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