Skip to main content

Fuzzy Logic Controller for Aviation Parking with 5G Communication Technology

  • Chapter
  • First Online:
Intelligent and Fuzzy Techniques in Aviation 4.0

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 372))

  • 813 Accesses

Abstract

The fourth industrial revolution is the current trend of automation. Devices that are connected with multiple networks are still unable to connect fastly, and the world is looking for the application of the massive lot, whereas the 5G network is enabled to meet the demand. It is a dire need to automate the aviation industry with this technology. So, in this research, a Fuzzy Logic Controller (FLC) for the parking of aircrafts is proposed and all the calculations are done using the fuzzy logic controller toolbox of MATLAB. An aircraft can be parked without human interference by seeking the information of flights and the availability of parking space in the garage along with the clearance of the runway. Membership values of FLC are taken in the form of a neutrosophic number and then converted into a fuzzy number using the accuracy function. Results evaluate that 5G will automate the Aviation automation industry with precision and efficiency in operation. 5G also has an ability of flexibility support to the upcoming technologies which are unknown to us.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Le, L.B., Lau, V., Jorswieck, E., Dao, N.D., Haghighat, A., Kim, D.I., Le-Ngoc, T.: Enabling 5G mobile wireless technologies. J. Wireless Com. Network 218 (2015) https://doi.org/10.1186/s13638-015-0452-9

  2. Agyapong, P.K., Iwamura, M., Staehle, D., Kiess, W., Benjebbour, A.: Design considerations for a 5G network architecture. IEEE Commun. Mag. 52(11), 65–75 (2014)

    Article  Google Scholar 

  3. Bergren, S. (2017). Design Considerations for a 5G Network Architecture. arXiv preprint arXiv:1705.02902

  4. Thompson, J., Ge, X., Wu, H.C., Irmer, R., Jiang, H., Fettweis, G., Alamouti, S.: 5G wireless communication systems: prospects and challenges [Guest Editorial]. IEEE Commun. Mag. 52(2), 62–64 (2014)

    Article  Google Scholar 

  5. Hu, Y.C., Patel, M., Sabella, D., Sprecher, N., Young, V.: Mobile edge computing—a key technology towards 5G. ETSI White Paper 11(11), 1–16 (2015)

    Google Scholar 

  6. Manasa, H.R., Pramila, S.: Architecture and technology components for 5G mobile and wireless communication. Int. J. Eng. Res. 4(06) (2015)

    Google Scholar 

  7. CNBC Newsletters.: (2019) https://www.cnbc.com/2019/11/25/5g-will-span-two-thirds-of-global-population-in-6-years-ericsson-says.html

  8. Atalık, O., Akan, Ş., Bakır, M.: Aviation 4.0: current practises of industry 4.0 in the airline and airport industries. (2019) https://doi.org/10.6084/m9.figshare.10316303

  9. Kivits, R., Charles, M.B., Ryan, N.: A post-carbon aviation future: airports and the transition to a cleaner aviation sector. Futures 42, 199–211 (2010)

    Article  Google Scholar 

  10. Lee, J., Mo, J.: Analysis of technological innovation and environmental performance improvement in aviation sector. Int. J. Environ. Res. Public Health 8, 3777–3795 (2011). https://doi.org/10.3390/ijerph8093777

    Article  Google Scholar 

  11. Havle, C.A., Üçler, Ç.: Enablers for industry 4.0. In: 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pp. 1–6. IEEE (2018)

    Google Scholar 

  12. Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M.: Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries, pp. 1–14. (2015) https://www.zvw.de/media.media.72e472fb-1698-4a15-8858-344351c8902f.original.pdf

  13. Valdés, R., Gomez, C., Victor, F., Sanz, Á., Javier, P.C.: Aviation 4.0: more safety through automation and digitization. pp. 25–41. (2018). https://doi.org/10.5772/intechopen.73688

  14. Ustundag, A., Cevikcan, E.: Industry 4.0: managing the digital transformation. Springer, Cham, (2017)

    Google Scholar 

  15. Albreem, M.A.: 5G wireless communication systems: vision and challenges. In: 2015 International Conference on Computer, Communications, and Control Technology (I4CT). pp. 493–497. IEEE. (April 2015)

    Google Scholar 

  16. Idowu-Bismark, O., Okokpujie, K.O., Ryan, H., Adedokun, M.O.: 5G wireless communication network architecture and its key enabling technologies. Int. Rev. Aerosp. Eng. (I. RE. AS. E) 12(2), 70–82 (2019)

    Google Scholar 

  17. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  Google Scholar 

  18. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87–96 (1986)

    Article  Google Scholar 

  19. Smarandache, F.: Neutrosophy. Neutrosophic probability, set, and logic. ProQuest Information and Learning, Ann Arbor, Michigan, USA (1998)

    Google Scholar 

  20. Molodtsov, D.: Soft set theory-first results. Comput. Math. Appl. 37, 19–31 (1999)

    Article  MathSciNet  Google Scholar 

  21. Maji, P., Biswas, R., Roy, A.R.: Fuzzy soft sets. Fuzzy Sets Syst. 9, 589–602 (2001a)

    MathSciNet  MATH  Google Scholar 

  22. Maji, P., Biswas, R., Roy, A.: Intuitionistic fuzzy soft sets. J. Fuzzy Math. 9 (2001b)

    Google Scholar 

  23. Maji, P.K.: Neutrosophic soft set. Ann. Fuzzy Math. Inform. 5(1), 157–168 (2013)

    MathSciNet  MATH  Google Scholar 

  24. Abdel-Baset, M., Chang, V., Gamal, A.: Evaluation of the green supply chain management practices: a novel neutrosophic approach. Comput. Ind. 108, 210–220 (2019)

    Article  Google Scholar 

  25. Riaz, M., Naeem, K., Ahmad, M.O.: Novel concepts of soft sets with applications. Ann. Fuzzy Mat. Inform. 13(2), 239–251 (2017)

    Article  MathSciNet  Google Scholar 

  26. Wielki, J., Jurczyk, M., Madera, D.: Application of TOPSIS method for evaluation of IT application in the hospital. (2019). https://doi.org/10.34190/KM.19.134

  27. Calvo-Flores, M., Verdegay, J., Vila, M.: Linguistic decision-making models. Int. J. Intell. Syst. 7, 479–492 (1992). https://doi.org/10.1002/int.4550070507

    Article  MATH  Google Scholar 

  28. Liu, J.: Fuzzy logic control. (2018) https://doi.org/10.1007/978-981-10-5263-7_4

  29. Mamdani, E.H.: Application of fuzzy algorithms for control of simple dynamic plant. Proc. Inst. Electr. Eng. 121(12), 1585–1588 (1974)

    Article  Google Scholar 

  30. Shen, J., Jin, D., Li, Z.: Fuzzy logic control and fuzzy logic control chip. 25, 61–66, 60 (1997)

    Google Scholar 

  31. Suwoyo, H., Tian, Y.Z., Hajar, M.: An flc-pso algorithm-controlled mobile robot. SINERGI. 24, 177 (2020). https://doi.org/10.22441/sinergi.2020.3.002

  32. Jafar, M.N., Saqlain, M., Mansoob, A., Riffat, A.: A best way to access gas station using fuzzy logic controller in neutrosophic environment. Sci. Inq. Rev. 4(1), 30–45 (2020). Available at: https://doi.org/10.32350/sir.41.03

  33. Saqlain, M., Saeed, M., Saeed, H.M.: Smart parking system using fuzzy logic controller for alien cities. Int. J. Math. Res. 9(1), 62–71 (2020). https://doi.org/10.18488/journal.24.2020.91.62.71

    Article  Google Scholar 

  34. Chatterjee, K., Kar, M.B., Kar, S.: Strategic decisions using intuitionistic fuzzy VIKOR method for information system (IS) outsourcing. In: 2013 International Symposium on Computational and Business Intelligence (ISCBI), pp. 123–126. IEEE, (August 2013)

    Google Scholar 

  35. Havle, C.A., Kılıç, B.: A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights. J. Air Transp. Manag. 76, 21–30 (2019)

    Article  Google Scholar 

  36. Şenel, M., Şenel, B., Havle, C.A.: Risk analysis of ports in maritime industry in Turkey using FMEA based intuitionistic fuzzy TOPSIS approach. In: ITM Web of Conferences, vol. 22, p 01018. EDP Sciences (2018)

    Google Scholar 

  37. Franco Barbosa G.: Aviation manufacturing towards to industry 4.0: a review. In: 4th International Conference and Exhibition on Mechanical & Aerospace Engineering, Florida, (2016)

    Google Scholar 

  38. Troiano, A., Pasero, E.: A runway surface monitor using internet of things. J. Electr. Eng.-Elektrotechnicky Casopis 65(3), 169–173 (2014)

    Google Scholar 

  39. Hwang, C., Yoon, K.: Multiple Attribute Decision Making: Methods and Applications. Springer, A State-of-the-Art Survey (1981)

    Book  Google Scholar 

  40. Dempsey, J.S.: Introduction to Private Security. Thomson Wadsworth, Belmont, CA, p. 78 (2008)

    Google Scholar 

  41. Ross, T.J.: Fuzzy Logic with Engineering Applications, pp. 90–91. Wiley India, (2010)

    Google Scholar 

  42. Van Leekwijck, W., Kerre, E.E.: Defuzzification: criteria and classification. Fuzzy Sets Syst. 108(2), 159–178 (1999)

    Article  MathSciNet  Google Scholar 

  43. Ben-Ari, M., Mondada, F. (2018). Fuzzy logic control. https://doi.org/10.1007/978-3-319-62533-1_11

  44. Büyüközkan, G., Feyzioglu, O., Havle, C. (2020). Analysis of Success Factors in Aviation 4.0 Using Integrated Intuitionistic Fuzzy MCDM Methods. https://doi.org/10.1007/978-3-030-23756-1_73

  45. Global Mobile Supplier Association.: (2019). https://gsacom.com/paper/lte-5g-market-statistics-8-april-2019/

  46. Gupta, A., Jha, R.K.: A survey of 5G network: architecture and emerging technologies. IEEE Access 3, 1206–1232 (2015)

    Article  Google Scholar 

  47. Notlagh, N.H., Taleb, T., Arouk, O.: Low-altitude unmanned aerial vehicles-based internet of things services: comprehensive survey and future perspectives. IEEE Int. Things J. 3(6), 889–922 (2016)

    Google Scholar 

Download references

Acknowledgements

Authors are thankful to the Editor-In-Chief and Referees.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Muhammad Saqlain .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Saqlain, M., Saeed, M. (2022). Fuzzy Logic Controller for Aviation Parking with 5G Communication Technology. In: Kahraman, C., Aydın, S. (eds) Intelligent and Fuzzy Techniques in Aviation 4.0. Studies in Systems, Decision and Control, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-75067-1_3

Download citation

Publish with us

Policies and ethics