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Cloud-Assisted Data Storage and Query Processing at Vehicular Ad-Hoc Sensor Networks

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Security, Privacy, and Anonymity in Computation, Communication, and Storage (SpaCCS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10658))

Abstract

In this paper we propose an efficient cloud-assisted data storage and query processing scheme for VANETs. It integrates the cloud and vehicular networks to facilitate data storage and indexing, so queries could be processed and forwarded along different communication channels according to the cost and time bounds of the queries. Moreover, the cloud calculates a result forwarding strategy by solving a Linear Programming problem, where the query results choose the best path either through the 4G channel or through DSRC (Dedicated Short Range Communication). This research is the first step towards the integration of the cloud and the vehicular networks, as well as the 4G channel, to improve the effectiveness and speeding up of the query processing in VANETs. Extensive experiments demonstrate that up to 94% of the queries could be successfully processed in the proposed scheme, QRF much higher than existing query schemes, while at the same time with a relatively low querying cost.

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Notes

  1. 1.

    https://www.elastic.co/products/elasticsearch.

  2. 2.

    https://github.com/openimages.

  3. 3.

    https://www.elastic.co/products/elasticsearch/.

  4. 4.

    http://glpk-java.sourceforge.net/.

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Acknowledgements

This research is supported by the Natural Science Foundation of China (61672441), the State Scholarship Fund of China Scholarship Council (201706315020), the National Key Technology Support Program (2015BAH16FF01).

Author information

Authors and Affiliations

  1. Software School, Xiamen University, Xiamen, 361005, China

    Yongxuan Lai & Lv Zheng

  2. College of Computer Science and Technology, Huaqiao University, Xiamen, 360000, China

    Tian Wang

  3. Department of Automation, Xiamen University, Xiamen, 361005, China

    Fang Yang & Qifeng Zhou

Authors
  1. Yongxuan Lai
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  2. Lv Zheng
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  3. Tian Wang
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  4. Fang Yang
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  5. Qifeng Zhou
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Corresponding author

Correspondence to Yongxuan Lai .

Editor information

Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. Edith Kinney Gaylord Presidential Professor, University of Oklahoma, Norman, Oklahoma, USA

    Mohammed Atiquzzaman

  3. Aalto University, Espoo, Finland

    Zheng Yan

  4. University of Texas at San Antonio, San Antonio, Texas, USA

    Kim-Kwang Raymond Choo

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Lai, Y., Zheng, L., Wang, T., Yang, F., Zhou, Q. (2017). Cloud-Assisted Data Storage and Query Processing at Vehicular Ad-Hoc Sensor Networks. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10658. Springer, Cham. https://doi.org/10.1007/978-3-319-72395-2_62

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  • DOI: https://doi.org/10.1007/978-3-319-72395-2_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72394-5

  • Online ISBN: 978-3-319-72395-2

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