Skip to main content
SpringerLink
Log in

Optimizing Energy Efficient Path Selection Using Venus Flytrap Optimization Algorithm in MANET

  • Conference paper
  • First Online:
Computational Intelligence in Data Mining—Volume 1

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 410))

Abstract

As routing protocols very essential for transmission, power consumption is one of the major prevailing issues to find the optimal path. Improve energy performance of MANET Routing protocol by choosing the optimal path which jointly reduces Total Transmission, Power is consuming the packet latency and improves the network lifetime. Propose a new VFO routing based on energy metrics and to reduce the total transmission power, maximize the lifetime of the connection which is implemented using Venus Flytrap Optimization (VFO). The VFO is the novel algorithm devised based on the closure behavior of the Venus Flytrap plant. The VFO algorithm generates the optimal path and energy aware routing.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • 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

References

  1. Shivashankar, V.G.: Study of Routing Protocols for Minimizing Energy Consumption Using Minimum Hop Strategy in MANETS. Int. J. Comput. Commun. Netw. Res. 1(3), 10–21 (2012)

    Google Scholar 

  2. Zabian, A., Ibrahim, A.: Power Saving Mechanism in Clustered Ad-Hoc Networks. J. Comput. Sci. 4(5), 366–371 (2008)

    Article  Google Scholar 

  3. Perkins, C.E., Royer, E.M.: Ad-hoc on-demand distance vector routing. In: WMCSA ’99: Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications, p. 90. IEEE Computer Society, Washington, DC, USA (1999)

    Google Scholar 

  4. Broch, J., Johnson, D., Maltz, D.: The dynamic source routing protocol for mobile ad hoc networks. iETF Internet Draft (work in progress), (Dec. 1998)

    Google Scholar 

  5. Toh, C.K.: Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks. IEEE Commun. Mag. 39(6), 138–147 (2001)

    Google Scholar 

  6. Wang, K. Xu, Y.-L., Chen, G.-L., Wu, Y.-F.: Power-aware on-demand routing protocol for manet. In: ICDCSW ’04: Proceedings of the 24th International Conference on Distributed Computing Systems Workshops- W7: EC (ICDCSW’04), pp. 723–728. IEEE Computer Society, Washington, DC, USA (2004)

    Google Scholar 

  7. Toh, C.-K.: Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks. IEEE Commun. Mag. 39(6), 138–147 (2001)

    Article  Google Scholar 

  8. Mahfoudh, S., Minet, P.: Survey of energy efficient strategies in wireless ad hoc and sensor networks. In: IEEE International Conference on Networking, pp. 1–7. Cancun, Mexico, (2008)

    Google Scholar 

  9. Sivabalan, S., Thangavel, K., Sathish, S.: Analysis of Path Selection Policy of the Routing Protocols Using Energy Efficient Metrics For Mobile Ad-Hoc Networks

    Google Scholar 

  10. Darwin, C.: Insectivorous Plants. Murray, London (1875)

    Book  Google Scholar 

  11. Yang, Ruoting, Lenaghan, Scott C., Zhang, Mingjun, Xia, Lijin: A mathematical model on the closing and opening mechanism for Venus flytrap. Plant Signal Behav 5(8), 968–978 (2010)

    Article  Google Scholar 

  12. Volkov, A.G., Adesina, T., Jovanov, E.: Closing of Venus flytrap by electrical stimulation of motor cells. Plant Signal Behav 2, 139–144 (2007)

    Article  Google Scholar 

  13. Volkov, A.G., Adesina, T., Jovanov, E.: Closing of venus flytrap by electrical stimulation of motor cells. Plant Signal Behav 2(3), 139–145 (2007)

    Google Scholar 

  14. Hodick, D., Sievers, A.: The action potential of Dionaea muscipula Ellis. Planta 174, 8–18 (1988)

    Article  Google Scholar 

  15. Fagerberg, W.R., Howe, D.G.: A quantitative study of tissue dynamics in Venus’s flytrap dionaea muscipula (Droseraceae) II. Trap reopening. Am J Bot 83, 836–842 (1996)

    Article  Google Scholar 

  16. Forterre, Y., Skotheim, J.M., Dumais, J., Mahadevan, L.: How the Venus flytrap snaps. Nature 433, 421–425 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, Periyar University, Salem, Tamilnadu, India

    S. Sivabalan, R. Gowri & R. Rathipriya

Authors
  1. S. Sivabalan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R. Gowri
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. Rathipriya
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. Sivabalan .

Editor information

Editors and Affiliations

  1. Veer Surendra Sai University of Tech., Dept of Computer Sci Eng & IT, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  2. National Institute of Technology, Dept. of Computer Science & Engineering, Rourkela, Odisha, India

    Durga Prasad Mohapatra

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer India

About this paper

Cite this paper

Sivabalan, S., Gowri, R., Rathipriya, R. (2016). Optimizing Energy Efficient Path Selection Using Venus Flytrap Optimization Algorithm in MANET. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining—Volume 1. Advances in Intelligent Systems and Computing, vol 410. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2734-2_20

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-2734-2_20

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2732-8

  • Online ISBN: 978-81-322-2734-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation