Call for Papers --Feature Topic, Vol.18, No.7, 2021
Collaborative Intelligence for Vehicular Internet of Things 

Future vehicular Internet-of-Things (IoT) systems feature a large number of devices and multi-access environments where different types of communication, computing, and storage resources must 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 also have an extreme variance in user requirements and resource demands with respect to time, location, and  context. Hence, current research is no longer confined to improving reliable communication and system operation in the presence of highly mobile vehicles, which has been the main focus in the past. It is therefore important to empower future vehicular IoT systems with advanced features, such as real-time reactive and proactive cooperation and coordination among different agents (or decision makers), including vehicles, roadside units, base stations, pedestrians, and other entities.

Recently, artificial intelligence (AI) based approaches have been attracting great interest in empowering computer systems. Some collaborative learning approaches, such as federated learning and multi-agent systems, have been used to reduce network traffic and improve learning efficiency of some smartphone applications. In vehicular IoT systems, collaborative intelligence can be achieved via an efficient collaboration among heterogeneous entities, including vehicles, edges, and cloud. This special issue will focus on the technical challenges and the synergistic effect of collaboration among heterogeneous entities and AI in enabling intelligent perception of environment, intelligent networking, and intelligent processing of big data in vehicular IoT systems. We invite researchers to contribute their original research articles that will facilitate the development of vehicular IoT based on collaborative intelligence.

Please note that each submission will normally be approximately 4500 words, with no more than 20 mathematical formulas, accomplished by up to 10 figures and/or tables.