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A novel framework for message dissemination with consideration of destination prediction in VFC

  • S.I. : New Trends of Neural Computing for Advanced Applications
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Abstract

The rapid development of intelligent transportation systems (ITS) and the emergency of ever-growing vehicular applications pose significant challenges to the underlying communication system. Without the support of powerful communication, many vehicular services will just stay in conceptual phase and cannot be put into practice. Recently, vehicular fog computing (VFC) is introduced as a promising solution to provide low-latency services on roads, which utilizes enormous vehicles on roads as communication and computation resources and extends cloud computing service to an edge network. On the other hand, the publish/subscribe (pub/sub) paradigm provides a loosely coupled and scalable communication which can facilitate flexible and dynamic vehicular network services. Motivated by the merits of these two research fields, in this paper, we propose a novel joint design of pub/sub-communication model based on VFC architecture, which employs fog nodes as the data platform for messages aggregation. Specifically, we describe a method to predict the vehicle’s destination and construct a stable VFC on roads. Then, a message dissemination approach is designed based on our communication model. Finally, the experimental results confirm the efficiency of our proposed scheme in real-world urban scenarios.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (No. 61802288), Major Technological Innovation Projects in Hubei Province (No. 2019AAA024), Open Project of Chongqing Vehicle Test & Research Institute (No. 20AKC18), and Open Project of Sanya Science and Education Innovation Park of Wuhan University of Technology (No. 2020KF0055).

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Authors and Affiliations

  1. School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China

    Bingyi Liu, Ze Wang, Jing Qin, Yi Jiang & Shengwu Xiong

  2. Chongqing Engineering Research Center of Research and Testing for Automated Driving System and Intelligent Connected Vehicle, Chongqing, China

    Xinhai Chen

  3. Department of Computer Science and Engineering, The State University of New York, Buffalo, USA

    Enshu Wang

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  1. Bingyi Liu
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  2. Ze Wang
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  3. Jing Qin
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  5. Xinhai Chen
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Correspondence to Enshu Wang.

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Liu, B., Wang, Z., Qin, J. et al. A novel framework for message dissemination with consideration of destination prediction in VFC. Neural Comput & Applic 35, 12389–12399 (2023). https://doi.org/10.1007/s00521-021-05754-9

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