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

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Date: Oct. 2021
From: Annales des Telecommunications(Vol. 76, Issue 9-10)
Publisher: Springer
Document Type: Report; Brief article
Length: 250 words

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Abstract :

Keywords: Vehicular delay-tolerant network; Smart city; Trust; Data collection; Mobile vehicles; Unmanned aerial vehicles 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 Ï. Author Affiliation: (1) School of Computer Science and Engineering, Central South University, 410083, Changsha, China (2) Department of Computer Science and Technology, Huaqiao University, 361021, Xiamen, Fujian Province, China (3) Institute for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 611731, Chengdu, China (d) lixiongzhq@163.com Article History: Registration Date: 08/10/2020 Received Date: 01/02/2020 Accepted Date: 08/10/2020 Online Date: 08/31/2020 Byline:

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Gale Document Number: GALE|A679580249