UITDE: A UAV-Assisted Intelligent True Data Evaluation Method for Ubiquitous IoT Systems in Intelligent Transportation of Smart City

The emergence of intelligent transportation systems provides new methods to monitor and alleviate traffic problems by employing many Internet of Things (IoT) devices, namely workers, to collect data. However, there are many malicious workers (or spammers) negatively impacting the system, so it is urgent to propose an effective true data evaluation method. In this paper, a UAV-assisted Intelligent True Data Evaluation (UITDE) method has been proposed to solve this problem effectively. UITDE has two main contributions. First, the authors abandon traditional algorithms that only use workers’ data to obtain estimated truths and compute their trusts directly. In contrast, the authors employ Unmanned Aerial Vehicles (UAVs) to collect data as ground truths to test and calculate workers’ trust. Second, there are some unmalicious workers who collect inaccurate data due to their aged sensing equipment, extreme weather, or other objective reasons, so the authors propose a data rectification algorithm to rectify their data. The results show that the authors' proposed method outperforms the compared methods, in terms of workers’ trust evaluation, utility, and accuracy.

• Record URL:
  • https://doi.org/10.1109/TITS.2024.3373411
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2024, IEEE.
• Authors:
  • Chen, Zhicheng
  • 0000-0001-8214-4128
  • Qu, Zhenzhe
  • Xiong, Nicholas
  • 0000-0002-0394-4635
  • Liu, Anfeng
  • 0000-0001-5190-4761
  • Dong, Mianxiong
  • 0000-0002-2788-3451
  • Wang, Tian
  • Zhang, Shaobo
  • 0000-0001-7980-9651
• Publication Date: 2024-8

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 9597-9607
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 25
  • Issue Number: 8
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Data collection; Data quality; Drones; Highway traffic control; Intelligent transportation systems; Internet of things
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01942805
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 20 2025 4:47PM