communication and fog/edge computing towards intelligent connected vehicles (icvs)
submission deadline: 30 november 2019
ieee
access invites manuscript submissions in the area of communication and fog/edge computing towards intelligent connected vehicles (icvs).
with rapid economic development, the number of vehicles on the road has grown dramatically, which introduces an array of traffic-related issues, such as traffic congestion and driving safety. intelligent connected vehicles (icvs) can provide a safer and greener transportation system, which has been envisioned as an effective measure to resolve traffic problems. icvs are expected to run many emerging smart applications (e.g., autonomous driving, safety early warning, natural language processing, etc.) to assist both the drivers and passengers in vehicular environments. these kinds of applications typically require significant computing power to perform computation-intensive and latency-sensitive tasks generated by the vehicle sensors for low-latency response. however, the limited computation capacity of the on-board computer makes it difficult to satisfy the computation requirements of quality-of-experience (qoe)-demanding applications. to tackle this challenge, fog/edge computing are proposed as innovative computing paradigms to extend computing capacity to the network edge in order to meet the requirements. fog/edge computing is expected to not only maximize the computation capability and alleviate the greenhouse effect, but also achieve sustainable operation by pushing rich computing and storage resources to the edge of the network.
the limited computation capacity of the on-board computer brings about an unprecedented challenge for the future development of icvs. fog/edge computing provides cloud computing capacity in close proximity to vehicles. vehicles can migrate the computing to the edge of the network via vehicle to everything (v2x) communication. processing can be completed at road-side unit (rsu) at the side of the network. the advancement of communication technologies and edge computing, such as fifth-generation (5g), software defined networking (sdn), network function virtualization (nfv), mobile edge/fog computing and so on, makes it possible to enhance computational capabilities, ensure near-real-time responses and realize communication requirements with ultra-low latency and ultra-high reliability. the special section in ieee
access aims to provide the latest research findings and solutions, in terms of communication and edge computing for icvs.
the topics of interest include, but are not limited to:
new architecture and framework establishment based on fog/edge computing for icvs
advanced vehicular networks technologies, such as 5g vehicular networks, lte-v and so on
ultra-reliable and low-latency communications for icvs
resource allocation and management based on fog/edge computing for icvs
machine learning, deep learning for intelligent management and control
joint analysis of communication and computing to improve performance in vehicular networks
cross-layer optimization for fog/edge computing
mobility modeling and management for icvs
sdn and nfv technologies for vehicular networks
security and privacy challenges
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associate editor: lei shu, nanjing agricultural university, china / university of lincoln, uk
guest editors:
junhui zhao, east china jiaotong university, china / beijing jiaotong university, china
yi gong, southern university of science and technology, china
changqing luo, virginia commonwealth university, usa
tim gordon, university of lincoln, uk
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2019-04-22
