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Joint mobile vehicle–UAV scheme for secure data collection in a smart city

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Abstract

A vehicular delay-tolerant network (VDTN) allows mobile vehicles (MVs) to collect data from widely deployed delay-tolerant sensors in a smart city through opportunistic routing, which has proven to be an efficient and low-cost data collection method. However, malicious MVs may report false data to obtain rewards, which will compromise applications. In this paper, the Active Trust Verification Data Collection (ATVDC) scheme is proposed for efficient, cheap, and secure data collection. In this scheme, an unmanned aerial vehicle (UAV) is adopted to collect baseline data from sensors to evaluate the trust of MVs, and a high-trust MV priority recruitment (HTMPR) strategy is proposed to recruit credible MVs at a low cost. In addition, a genetic-algorithm-based trajectory planning (GATP) algorithm is proposed to allow the UAV to collect more baseline data at the minimum flight cost. After sufficient experiments, the strategy proposed in this paper is seen to greatly improve performance in terms of the error-free ratio EF, the symbol error ratio ES, and the data coverage ratio ϑ.

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Funding

This work was supported in part by the National Natural Science Foundation of China (61772554).

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Authors and Affiliations

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

    Shaobo Huang & Jinsong Gui

  2. Department of Computer Science and Technology, Huaqiao University, Xiamen, 361021, Fujian Province, China

    Tian Wang

  3. Institute for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Xiong Li

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  1. Shaobo Huang
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Correspondence to Xiong Li.

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Huang, S., Gui, J., Wang, T. et al. Joint mobile vehicle–UAV scheme for secure data collection in a smart city. Ann. Telecommun. 76, 559–580 (2021). https://doi.org/10.1007/s12243-020-00798-9

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