Guest editorial: 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 intelli...

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Bibliographic Details
Published in:China communications 2021-07, Vol.18 (7), p.iii-vi
Main Authors: Wu, Celimuge, Yau, Kok-Lim Alvin, Calafate, Carlos Tavares, Zhong, Lei
Format: Article
Language:English
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Summary: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 transportation 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.
ISSN:1673-5447
DOI:10.23919/JCC.2021.9495349