Research on adaptive dual task offloading decision algorithm for parking space recommendation service

doi:10.19682/j.cnki.1005-8885.2019.1024

中国邮电高校学报(英文版) ›› 2019, Vol. 26 ›› Issue (6): 30-42.doi: 10.19682/j.cnki.1005-8885.2019.1024

Research on adaptive dual task offloading decision algorithm for parking space recommendation service

Peng Weiping, Su Zhe, Song Cheng, Jia Zongpu

School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China

收稿日期:2019-04-23 修回日期:2019-12-03 出版日期:2019-12-31 发布日期:2020-03-10
通讯作者: Peng Weiping, E-mail: pwp9999@hpu.edu.cn E-mail:pwp9999@hpu.edu.cn
作者简介:Peng Weiping, E-mail: pwp9999@hpu.edu.cn
基金资助:
This work was supported by the Scientific Research Project of Henan Province (182102110333), the Doctoral Support Research Project of Henan Polytechnic University (B2012-050), the Funding Project for the Young Backbone Teachers of Higher Education Institutions in Henan Province (2019GGJS061).

Research on adaptive dual task offloading decision algorithm for parking space recommendation service

Peng Weiping, Su Zhe, Song Cheng, Jia Zongpu

School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China

Received:2019-04-23 Revised:2019-12-03 Online:2019-12-31 Published:2020-03-10
Contact: Peng Weiping, E-mail: pwp9999@hpu.edu.cn E-mail:pwp9999@hpu.edu.cn
About author:Peng Weiping, E-mail: pwp9999@hpu.edu.cn
Supported by:
This work was supported by the Scientific Research Project of Henan Province (182102110333), the Doctoral Support Research Project of Henan Polytechnic University (B2012-050), the Funding Project for the Young Backbone Teachers of Higher Education Institutions in Henan Province (2019GGJS061).

摘要/Abstract

摘要：

In order to improve the efficiency of tasks processing and reduce the energy consumption of new energy vehicle (NEV), an adaptive dual task offloading decision-making scheme for Internet of vehicles is proposed based on information-assisted service of road side units (RSUs) and task offloading theory. Taking the roadside parking space recommendation service as the specific application Scenario, the task offloading model is built and a hierarchical self-organizing network model is constructed, which utilizes the computing power sharing among nodes, RSUs and mobile edge computing (MEC) servers. The task scheduling is performed through the adaptive task offloading decision algorithm, which helps to realize the available parking space recommendation service which is energy-saving and environmental-friendly. Compared with these traditional task offloading decisions, the proposed scheme takes less time and less energy in the whole process of tasks. Simulation results testified the effectiveness of the proposed scheme.

关键词:

parking space recommendation service, Internet of vehicles, RSU, adaptive dual task offloading

Abstract:

Key words:

parking space recommendation service, Internet of vehicles, RSU, adaptive dual task offloading

中图分类号:

TN929.5

Peng Weiping, Su Zhe, Song Cheng, Jia Zongpu.

Research on adaptive dual task offloading decision algorithm for parking space recommendation service

[J]. The Journal of China Universities of Posts and Telecommunications, 2019, 26(6): 30-42.

参考文献

References
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Research on adaptive dual task offloading decision algorithm for parking space recommendation service

Research on adaptive dual task offloading decision algorithm for parking space recommendation service

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