Dear Colleagues,

In recent years, the number of vehicles has grown significantly worldwide, contributing to the emergence of new research directions as the industry invests in incorporating more technological resources and intelligence systems into vehicles. Vehicular systems will experience a massive growth of vehicular sensors and will need to support and offer new services for software-defined intelligent vehicular sensors networks. In this context, there is a growing interest in developing different communication optimizations in intelligent vehicular sensor networks, as the next generation of vehicles will be intelligent, software-defined based, and will provide and consume a large amount of resources from cloud servers close to them. Hence, the intelligent vehicular sensor networks revolutionize the driving and travel experiences and traffic control systems.

Key vehicular sensor network applications, such as real-time learning mechanisms for autonomous vehicles, artificial intelligence-oriented applications and augmented reality, are expected to be largely deployed to disseminate a large amount of data with low latency requirements. In this context, fog computing can play a pivotal role in enabling mobile users, such as vehicles, to use computational resources at the network edge, minimizing the amount of traffic on the network core. In the vehicular sensor network context, fog computing considers available computational resources such as storage capacity, memory, and processing, of vehicles and infrastructure in order to provide low latency, increased bandwidth, and location-based services, relieving the intense traffic to the network core. Additionally, Software Defined Networking (SDN) approaches will be mandatory to allow vehicular systems to provide smart and flexible services to control and orchestrate fog-enabled and 5G/6G environments. However, several design challenges are imposed for a fog-enabled SDN architecture for vehicular sensor networks in order to provide intelligent fog services for vehicular applications in smart cities.

This Special Issue invites original and state-of-the-art contributions on the topics related to SDN, fog computing and intelligent vehicular sensors networks. The Special Issue will cover but is not limited to the following:

• Autonomous communication;
• Connected autonomous vehicles;
• Cooperative vehicular communications;
• Cross-layer design and optimization;
• Fog-enable vehicular sensors networks and services;
• Integration of unmanned aerial vehicle (UAV) in intelligent vehicular sensor networks;
• Intelligent transportation systems;
• Internet of Vehicles and Internet of Mobile Things;
• Inter and intra vehicle communication and protocols;
• Quality-of-Service (QoS) and Quality-of-Experience (QoE) support;
• Road traffic monitoring and control;
• Security and privacy technologies;
• Software-defined vehicular networks;
• V2X, V2I and V2V communications;
• Vehicular cloud and cloud-assisted vehicle communications;
• Space-Terrestrial Integrated Networks (STINs) for intelligent vehicle networks;
• Machine learning and artificial intelligence for intelligent vehicle applications.

Prof. Eduardo Cerqueira
Prof. Denis Rosário
Prof. Sherali Zeadally
Prof. Zhongliang Zhao
Guest Editors

Manuscript Submission Information

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• Fog-enable vehicular sensors networks and services
• Intelligent vehicular sensor networks
• Software-defined vehicular networks
• Vehicular cloud and cloud-assisted vehicle communications
• V2X, V2I and V2V communications
• Space–terrestrial-integrated network architecture for intelligent vehicle network services
• Trajectory prediction for vehicle networks