Performance Evaluation of Fuzzy-Based Routing System for Vehicular Opportunistic Networks Considering Delivery Probability and Overhead Metrics | SpringerLink
Skip to main content
Springer Nature Link
Log in

Performance Evaluation of Fuzzy-Based Routing System for Vehicular Opportunistic Networks Considering Delivery Probability and Overhead Metrics

  • Conference paper
  • First Online:
Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2024)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 231))

  • 160 Accesses

Abstract

In this paper, we propose a routing protocol for Opportunistic Networks (OppNets) that leverages Fuzzy Logic (FL) to optimize message delivery in highly dynamic environments. Our system utilizes key parameters such as buffer occupancy, angle to the destination, and the number of unique connections to make intelligent routing decisions, enhancing the adaptability and efficiency of the network. Through simulations, we compare the performance of our FL-based protocol with existing protocols considering delivery probability and overhead. Our proposed FL-system shows good results in delivery probability and reduces network overhead, especially in scenarios with high node density. This study highlights the potential of FL in enhancing the reliability and performance of routing protocols in OppNets, offering a robust solution for real-world applications where conventional communication infrastructures are unavailable or impractical.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 22879
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 28599
Price includes VAT (Japan)
  • Compact, lightweight 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

Similar content being viewed by others

References

  1. Bojadziev, G., Bojadziev, M., Zadeh, L.A.: Fuzzy logic for business, finance, and management. In: Advances in Fuzzy Systems - Applications and Theory, vol. 12. World Scientific (1997)

    Google Scholar 

  2. Hartenstein, H., Laberteaux, K.P.: VANET: Vehicular Applications and Inter-Networking Technologies Intelligent Transportation Systems. Wiley, Hoboken (2010). https://doi.org/10.1002/9780470740637

    Book  Google Scholar 

  3. Hartenstein, H., Laberteaux, L.: A tutorial survey on vehicular ad hoc networks. IEEE Commun. Mag. 46(6), 164–171 (2008)

    Article  Google Scholar 

  4. Kandel, A.: Fuzzy Expert Systems. CRC Press Inc, Boca Raton, FL, USA (1992)

    Google Scholar 

  5. Keränen, A., Ott, J., Kärkkäinen, T.: The one simulator for DTN protocol evaluation. In: Proceedings of the 2nd International Conference on Simulation Tools and Techniques, Simutools 2009. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), Brussels, BEL (2009). https://doi.org/10.4108/ICST.SIMUTOOLS2009.5674

  6. Klir, G.J., Folger, T.A.: Fuzzy Sets, Uncertainty, and Information. Prentice Hall, Upper Saddle River (1988)

    Google Scholar 

  7. Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logic - Theory and Applications. Prentice Hall, Hoboken (1995)

    Google Scholar 

  8. McNeill, F.M., Thro, E.: Fuzzy Logic: A Practical Approach. Academic Press Professional Inc, San Diego (1994)

    Google Scholar 

  9. Munakata, T., Jani, Y.: Fuzzy systems: an overview. Commun. ACM 37(3), 69–77 (1994)

    Article  Google Scholar 

  10. Peixoto, M.L.M., et al.: FogJam: a fog service for detecting traffic congestion in a continuous data stream VANET. Ad Hoc Netw. 140, 103046 (2023). https://doi.org/10.1016/j.adhoc.2022.103046

    Article  Google Scholar 

  11. Qafzezi, E., Bylykbashi, K., Higashi, S., Ampririt, P., Matsuo, K., Barolli, L.: A fuzzy-based error driving system for improving driving performance in VANETs. In: Barolli, L. (ed.) CISIS 2023. LNDECT, vol. 176, pp. 1–9. Springer Cham (2023). https://doi.org/10.1007/978-3-031-35734-3_16

  12. Schünemann, B., Massow, K., Radusch, I.: Realistic simulation of vehicular communication and vehicle-2-x applications. In: Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems & Workshops, SimuTools 2008, Marseille, France, March 3-7, 2008, p. 62. ICST/ACM (2008). https://doi.org/10.4108/ICST.SIMUTOOLS2008.2949

  13. Zadeh, L.A., Kacprzyk, J.: Fuzzy Logic for the Management of Uncertainty. Wiley, New York (1992)

    Google Scholar 

  14. Zadeh, L.A., Klir, G.J., Yuan, B.: Fuzzy Sets, fuzzy logic, and fuzzy systems - selected papers In: Zadeh, L.A (e.) Advances in Fuzzy Systems - Applications and Theory, vol. 6. World Scientific (1996). https://doi.org/10.1142/2895

  15. Zimmermann, H.J.: Fuzzy control. In: Fuzzy Set Theory and Its Applications, pp. 203–240. Springer, Dordrecht (1996). https://doi.org/10.1007/978-94-015-8702-0_11

Download references

Author information

Authors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Ermioni Qafzezi, Kevin Bylykbashi, Keita Matsuo & Leonard Barolli

  2. Graduate School of Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811–0295, Japan

    Shunya Higashi & Phudit Ampririt

Authors
  1. Ermioni Qafzezi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kevin Bylykbashi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shunya Higashi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Phudit Ampririt
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Keita Matsuo
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Leonard Barolli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ermioni Qafzezi .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

Rights and permissions

Reprints and permissions

Copyright information

© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Qafzezi, E., Bylykbashi, K., Higashi, S., Ampririt, P., Matsuo, K., Barolli, L. (2025). Performance Evaluation of Fuzzy-Based Routing System for Vehicular Opportunistic Networks Considering Delivery Probability and Overhead Metrics. In: Barolli, L. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-031-76452-3_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-76452-3_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-76451-6

  • Online ISBN: 978-3-031-76452-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation