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An intelligent big data collection technology based on micro mobile data centers for crowdsensing vehicular sensor network

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Abstract

The fast development of Internet of Things (IoT) has greatly driven the development of mobile crowdsensing vehicular sensor network (CVSN). A lot of fascinating big data–based applications have been developed such as traffic management, health monitoring, and smart city. How to effectively collect enough data while not increasing too much redundancy is still a challenging problem in the big data application for CVSN. In this paper, a data relay mule–based collection scheme (DRMCS) is proposed to improve the quality of service (QoS). Comparing with the previous researches, the innovation of DRMCS is as follows: First, a data collection framework which considers the sensing task completion rate, redundancy rate and delay is proposed. Second, the micro mobile data center (MMDC) is proposed to solve the problem of connecting the huge number of intelligent sensing devices with data centre. Third, a MMDC selection strategy based on simulated annealing algorithm is proposed by DRMCS to improve the data collection performance. Compared with traditional vehicular network opportunistic communication without data relay mule (OCDRM), the sensing task completion rate of DRMCS has been improved by 78.6%.

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Funding

This work was supported in part by the National Natural Science Foundation of China (N0.61902432, No. 61772554, No.61602398, No.61672447), Hunan Provincial National Natural Science Foundation of China (No.2017JJ3316, No.2019JJ50592), Independent Exploration and Innovation Project for Graduate Students of Central South University (No. 2019zzts589).

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Authors and Affiliations

  1. School of Computer Science and Engineering, Central South University, Changsha, 410083, China

    Yingying Ren & Jinhuan Zhang

  2. College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China

    Tian Wang

  3. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China

    Shaobo Zhang

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  1. Yingying Ren
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  2. Tian Wang
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  3. Shaobo Zhang
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  4. Jinhuan Zhang
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Correspondence to Jinhuan Zhang.

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Ren, Y., Wang, T., Zhang, S. et al. An intelligent big data collection technology based on micro mobile data centers for crowdsensing vehicular sensor network. Pers Ubiquit Comput 27, 563–579 (2023). https://doi.org/10.1007/s00779-020-01440-0

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  • DOI: https://doi.org/10.1007/s00779-020-01440-0

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