IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v178y2018icp31-39.html
   My bibliography  Save this article

Risk based multi criteria decision making for secure image transfer between unmanned air vehicle and ground control station

Author

Listed:
  • Dursun, Mahir
  • Çuhadar, Ä°smet

Abstract

nowadays, the reliabilities of unmanned air vehicles (UAVs) are often questionable because of their importance and widespread usage. at this point, one of the major problem areas is data link system of uavs. in this paper, an alternative image transmission method based on the secure hypertext transfer protocol (HTTPS) protocol has been developed using Raspberry Pi 3 and Picamera module to ensure a secure data link. to evaluate this method, four alternative methods in the literature are identified and a novel comparison manner, which is numerical, flexible, objective, measurable and independent from person, is created by using multi-criteria decision-making methodology based on risk analysis, called risk based multi criteria decision making for UAV data link systems. the multi criteria decision making method is chosen as an appropriate method for comparison and decision-making. however, as a unique approach, risk analysis methodology is used to determine the criteria and weights of criterias as inputs of decision making method.

Suggested Citation

  • Dursun, Mahir & Çuhadar, Ä°smet, 2018. "Risk based multi criteria decision making for secure image transfer between unmanned air vehicle and ground control station," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 31-39.
    • Handle: RePEc:eee:reensy:v:178:y:2018:i:c:p:31-39
    DOI: 10.1016/j.ress.2018.05.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832017307317
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2018.05.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fang, Jianguang & Gao, Yunkai & Sun, Guangyong & Xu, Chengmin & Li, Qing, 2015. "Multiobjective robust design optimization of fatigue life for a truck cab," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 1-8.
    2. Catrinu, M.D. & Nordgård, D.E., 2011. "Integrating risk analysis and multi-criteria decision support under uncertainty in electricity distribution system asset management," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 663-670.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Balali, Amirhossein & Valipour, Alireza & Edwards, Rodger & Moehler, Robert, 2021. "Ranking effective risks on human resources threats in natural gas supply projects using ANP-COPRAS method: Case study of Shiraz," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    2. Zhou, Jian-Lan & Yu, Ze-Tai & Xiao, Ren-Bin, 2022. "A large-scale group Success Likelihood Index Method to estimate human error probabilities in the railway driving process," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Yanfu & Zio, Enrico, 2012. "Uncertainty analysis of the adequacy assessment model of a distributed generation system," Renewable Energy, Elsevier, vol. 41(C), pages 235-244.
    2. Rivier, M. & Congedo, P.M., 2022. "Surrogate-Assisted Bounding-Box approach applied to constrained multi-objective optimisation under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Luo, Jianing & Li, Hangxin & Wang, Shengwei, 2022. "A quantitative reliability assessment and risk quantification method for microgrids considering supply and demand uncertainties," Applied Energy, Elsevier, vol. 328(C).
    4. Lima, Eliana Sangreman & Costa, Ana Paula Cabral Seixas, 2019. "Improving Asset Management under a regulatory view," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    5. Wang, Q. & Poh, K.L., 2014. "A survey of integrated decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 77(C), pages 691-702.
    6. Yoon, Joung Taek & Youn, Byeng D. & Yoo, Minji & Kim, Yunhan, 2017. "A newly formulated resilience measure that considers false alarms," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 417-427.
    7. Zhou, Jian-Lan & Yu, Ze-Tai & Xiao, Ren-Bin, 2022. "A large-scale group Success Likelihood Index Method to estimate human error probabilities in the railway driving process," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    8. Hamilton, Michelle C. & Lambert, James H. & Connelly, Elizabeth B. & Barker, Kash, 2016. "Resilience analytics with disruption of preferences and lifecycle cost analysis for energy microgrids," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 11-21.
    9. Pombo, A. Vieira & Murta-Pina, João & Pires, V. Fernão, 2015. "Multiobjective planning of distribution networks incorporating switches and protective devices using a memetic optimization," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 101-108.
    10. Fang, Jianguang & Gao, Yunkai & Sun, Guangyong & Xu, Chengmin & Li, Qing, 2015. "Multiobjective robust design optimization of fatigue life for a truck cab," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 1-8.
    11. Jannatul Ferdous & Farid Bensebaa & Abbas S. Milani & Kasun Hewage & Pankaj Bhowmik & Nathan Pelletier, 2024. "Development of a Generic Decision Tree for the Integration of Multi-Criteria Decision-Making (MCDM) and Multi-Objective Optimization (MOO) Methods under Uncertainty to Facilitate Sustainability Assess," Sustainability, MDPI, vol. 16(7), pages 1-21, March.
    12. Liu, Xinyang & Zheng, Zhuoyuan & Büyüktahtakın, İ. Esra & Zhou, Zhi & Wang, Pingfeng, 2021. "Battery asset management with cycle life prognosis," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:178:y:2018:i:c:p:31-39. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.