-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] Call for Papers: IEEE Network Magazine-Special Issue on “Connected and Autonomous Vehicles” Datum: Sun, 1 Jan 2023 21:49:31 +0800 Von: Ye Liu (刘野) liuyefancy@GMAIL.COM Antwort an: Ye Liu (刘野) liuyefancy@GMAIL.COM An: tccc-announce@COMSOC.ORG
Dear Colleagues,
We are pleased to invite you to submit your latest research to the IEEE Network Magazine Special Issue on “Connected and Autonomous Vehicles”.
Please kindly find the details of the call for papers with the following website link:
https://www.comsoc.org/publications/magazines/ieee-network/cfp/connected-and...
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CFP: IEEE Network Special Issue on Connected and Autonomous Vehicles
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Rapid advances in sensing, communication, networking, and computing technologies have triggered emerging concepts, such as the Connected and Autonomous Vehicles (CAV). In the paradigm of CAV, vehicles in the future can efficiently monitor their internal health conditions through plenty of onboard units to enhance transportation safety. In addition, the vehicles will become more intelligent and capable of fully autonomous driving to improve the user experience dramatically. Moreover, they can form distributed mobile networks for information exchange among vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-human (V2H), in which traffic efficiency will be increased significantly toward innovative and sustainable transportation. However, realizing such a blueprint is not trivial because several challenges are facing at current. Among them, efficient network connectivity and network-level autonomy are two fundamental issues.
From the perspective of efficient network connectivity, frequent topology changes due to high mobility in vehicular networks often cause communication failure. Moreover, the diversity of wireless communication techniques has already been widely applied, and therefore it is needed to connect these heterogeneous vehicles with different types of onboard units. Lastly, vehicular networks are mission-critical that require high reliability, and low delay for both simple information and multimedia streaming (e.g., image, voice, and video) transmission, especially in harsh wireless interference, and complex geographical environments.
On the other hand, network-level autonomous vehicles must enhance the intelligence of each vehicle and the cooperation and interaction between vehicles, humans, and even the elements in CAV. All objects are expected to be “active” and intelligent to fill these gaps.
Emerging technologies developed in recent years provide potential opportunities to address the above challenges. Therefore, the Special Issue aims to publish original research and state-of-the-art articles that explore emerging information and communications technologies for connected and autonomous vehicles. The topics include, but are not limited to, the following:
l Cooperative perception and collaborative operation of CAVs
l Edge computing for connected and autonomous vehicles
l Cooperative resource allocation and scheduling
l Autonomous freight transportation and drone delivery
l Machine learning for connected and autonomous vehicles
l Networking protocols for connected and autonomous vehicles
l Development, testing, and validation of connected and autonomous vehicles
*Submission Guidelines*
Manuscripts should conform to the standard format as indicated in the “Information for Author” section of the Paper Submission Guidelines https://www.comsoc.org/publications/magazines/ieee-network/paper-submission-guidelines .
All manuscripts to be considered for publication must be submitted by the deadline through Manuscript Central http://mc.manuscriptcentral.com/network-ieee. Select “July 2023/Connected and Autonomous Vehicles” from the drop-down menu of topic titles.
*Important Dates*
Manuscript Submission Deadline: 15 January 2023 Initial Decision Notification: 15 March 2023 Revised Manuscript Due: 15 April 2023 Final Decision: 30 April 2023 Final Manuscript Due: 10 May 2023 Publication Date: July/August 2023
*Guest Editors*
Qing Yang Qing.yang@unt.edu (Lead) University of North Texas, USA
Honggang Wang hwang1@umassd.edu University of Massachusetts Dartmouth, USA
Weisong Shi Wayne State University, USA
Ye Liu Macau University of Science and Technology, Macau, China
Hoang Dinh University of Technology Sydney, NSW, Australia
Antonella Molinaro University Mediterranea of Reggio Calabria, Italy and CentraleSupélec, Paris-Saclay University, France
Ryokichi Onishi Toyota Motor Corporation, Japan
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