Convergence of Intelligent Sensing, Networking, and Computing Technologies for ITS

Dear Colleagues,

Future vehicular Internet-of-Things (IoT) systems feature a larger number of devices and multiaccess environments where different types of wireless spectrums should be efficiently utilized. At the same time, novel services, such as cooperative autonomous driving and intelligent transport systems (ITS) that demand unprecedented high accuracy, ultra-low latency, and large bandwidth, are emerging. These services have an extreme variance in their resource demand with respect to time, location, context, as well as individual patterns. Current vehicular IoT systems, such as autonomous driving, only consider the intelligence of a single vehicle agent with little attention given to the cooperation/coordination among them, and therefore, a limitation exists. In order to realize a more intelligent transport system, collaboration between different vehicles and smart road infrastructure (e.g., roadside units, traffic light controllers etc.) should be promoted  and  utilized efficiently. In addition, an efficient perception, and computing should be integrated as well to meet the above services constraints. It is envisioned that the integration of intelligent sensing, networking, and computing technologies will reach the level of true agility in ITS.

Recently, artificial-intelligence-based approaches have been attracting great interest in achieving intelligence in computer systems. However, due to the dynamic characteristics of a vehicular environment, conducting efficient learning in such environment is also a challenging scientific problem. This Special Issue focuses on solutions that can synergistically leverage techniques and insights from the domains of sensing, networking, computing, and Artificial Intelligence (AI) technologies to resolve the challenges in ITS, thereby significantly advancing the state-of-the-art in perception, networking, computing, and applications of ITS. Prospective authors are invited to submit original manuscripts that advance the state-of-the-art in topics including, but not limited to:

• 5G/Beyond 5G and ITS;
• AI-based approaches for intelligent perception;
• Applications/use cases highlighting the potential of edge-enabled vehicular networks;
• Cloud/edge computing architecture for ITS;
• Collaborative learning in vehicular environment;
• Collaborative sensing, networking, and computing for ITS;
• Intelligent networking for ITS;
• Intelligent vehicular networking solutions in the Beyond 5G era;
• Machine and deep learning for ITS;
• Relaying and routing for vehicular IoT;
• Resource allocation for vehicular IoT;
• Tactile Internet applications for ITS;
• Security and privacy for ITS.

Dr. Celimuge Wu
Prof. Yusheng Ji
Dr. Soufiene Djahel
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.