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An Offloading Strategy Based on RSU Cooperation for Vehicular Edge Computing System

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Theoretical Computer Science (NCTCS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1352))

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Abstract

In the Internet of Vehicles, the delay requirements for real-time applications between vehicles are very high. When the vehicle is driving on the road, it will inevitably exchange tasks by the Road Side Unit (RSU). After the vehicle offloads the calculation task to the RSU, and leave the communication coverage of the RSU, the vehicle will not receive the computing results of the offloading task. The completion time of the task will increase, and this will reduce the safety of the vehicle. In order to reduce the delay of task completion, A communication structure for adjacent RSUs cooperation calculation is proposed, and an algorithm based on the distance between the vehicle and the RSUs is introduced to solve the remaining driving time of the vehicle within the RSU communication coverage. The remaining time is used to screen out messages to control the number of messages forwarded between RSUs. Finally, A test between non-cooperation-RSU and cooperation-RSU scenes is performed and analyzed in OMNet+ +. The results show the strategy proposed in this paper can reduce the task completion time by 25%.

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Acknowledgments

Research in this article is supported by the National Key Research and Development Project of China (No. 2018YFB1702600, 2018YFB1702602),National Natural Science Foundation of China (No. 61402167, 61772193, 61872139), Hunan Provincial Natural Science Foundation of China (No. 2017JJ4036, 2018JJ2139), and Research Foundation of Hunan Provincial Education Department of China (No. 17K033, 19A174).

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Correspondence to Qi Fu .

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Fu, Q., Shang, K., Wang, F., Ba, B., Wen, Y. (2021). An Offloading Strategy Based on RSU Cooperation for Vehicular Edge Computing System. In: He, K., Zhong, C., Cai, Z., Yin, Y. (eds) Theoretical Computer Science. NCTCS 2020. Communications in Computer and Information Science, vol 1352. Springer, Singapore. https://doi.org/10.1007/978-981-16-1877-2_13

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  • DOI: https://doi.org/10.1007/978-981-16-1877-2_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1876-5

  • Online ISBN: 978-981-16-1877-2

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