Skip to main content

FANET: Efficient Routing in Flying Ad Hoc Networks (FANETs) Using Firefly Algorithm

  • Conference paper
  • First Online:
Intelligent Computing and Innovation on Data Science

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 248))

Abstract

In recent years, the use of emerging technologies and the role of flying ad hoc networks (FANETs) have rapidly changed. Flying ad hoc networks are generally used in different areas such as media, agriculture, business, entertainment, security services, and various emergency services. Flying ad hoc network provides highly dynamic environments. The unmanned aerial vehicles (UAV) depend on nodes (packets) where nodes are moving very fast and thus packets loss during transmission. In this paper, define an approach that is based on the firefly algorithm (FA). The proposed algorithm applied the firefly algorithm’s idea on flying ad hoc networks where geographical position mobility-oriented routing protocol (GPMOR) objectives to reduce the number of hops based on Gauss Markov (GM) mobility model. It improves the performance of routing by efficient packets.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /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
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Oubbati OS, Atiquzzaman M, Lorenz P, Tareque MH, Hossain MS (2019) Routing in flying ad hoc networks: survey, constraints, and future challenge perspectives. IEEE Access 7:81057–81105

    Article  Google Scholar 

  2. Datta D, Dhull K, Verma S (2020) UAV Environment in FANET: an overview. Applications of cloud computing: approaches and practices, p 153

    Google Scholar 

  3. Kaur M, Verma S (2020) Flying ad-hoc network (FANET): challenges and routing protocols. J Comput Theor Nanosci 17(6):2575–2581

    Article  Google Scholar 

  4. Sun Z, Wang P, Vuran MC, Al- MA, Al- AM, Akyildiz IF (2011) BorderSense: border patrol through advanced wireless sensor networks. Ad Hoc Netw 9(3):468–477

    Google Scholar 

  5. Yang XS (2010) Engineering optimization: an introduction with metaheuristic applications. Wiley

    Google Scholar 

  6. Radwan AAA, Mahmoud TM, Houssein EH (2011) Evaluation comparison of some ad hoc networks routing protocols. Egypt Inf J 12(2):95–106

    Google Scholar 

  7. Wu J, Zou L, Zhao L, Al-Dubai A, Mackenzie L, Min G (2019) A multi-UAV clustering strategy for reducing insecure communication range. Comput Netw 158:132–142

    Article  Google Scholar 

  8. Sharma V, Kumar R, Kumar N (2018) DPTR: distributed priority tree-based routing protocol for FANETs. Comput Commun 122:129–151

    Article  Google Scholar 

  9. Oubbati OS, Lakas A, Zhou F, Güneş M, Yagoubi MB (2017) A survey on position-based routing protocols for flying ad hoc networks (FANETs). Veh Commun 10:29–56

    Google Scholar 

  10. Yang XS (2010) Nature-inspired metaheuristic algorithms. Luniver Press

    Google Scholar 

  11. Vijayalakshmi B, Ramar K, Jhanjhi NZ, Verma S, Kaliappan M, Vijayalakshmi K, Ghosh U (2021) An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city. Int J Commun Syst 34(3):e4609

    Google Scholar 

  12. Sennan S, Somula R, Luhach AK, Deverajan GG, Alnumay W, Jhanjhi NZ, Sharma P (2020) Energy efficient optimal parent selection based routing protocol for internet of things using firefly optimization algorithm. Trans Emerg Telecommun Technol e4171

    Google Scholar 

  13. Batra I, Verma S, Alazab M (2020) A lightweight IoT‐based security framework for inventory automation using wireless sensor network. Int J Commun Syst 33(4):e4228

    Google Scholar 

  14. Fister Jr I, Yang XS, Fister I, Brest J (2012) Memetic firefly algorithm for combinatorial optimization. arXiv preprint arXiv:1204.5165

  15. Lin L, Sun Q, Li J, Yang F (2012) A novel geographic position mobility oriented routing strategy for UAVs. J Comput Inf Syst 8(2):709–716

    Google Scholar 

  16. Camp T, Boleng J, Davies V (2002) A survey of mobility models for ad hoc network research. Wirel Commun Mob Comput 2(5):483–502

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sahil Verma .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kaur, M., Singh, A., Verma, S., Kavita, Jhanjhi, N.Z., Talib, M.N. (2021). FANET: Efficient Routing in Flying Ad Hoc Networks (FANETs) Using Firefly Algorithm. In: Peng, SL., Hsieh, SY., Gopalakrishnan, S., Duraisamy, B. (eds) Intelligent Computing and Innovation on Data Science. Lecture Notes in Networks and Systems, vol 248. Springer, Singapore. https://doi.org/10.1007/978-981-16-3153-5_51

Download citation

Publish with us

Policies and ethics