Skip to main content
SpringerLink
Log in

Wireless Sensor Networks Based on Bio-Inspired Algorithms

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2018 (ICCSA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10960))

Included in the following conference series:

  • 1460 Accesses

Abstract

The goal of bio-inspired is to resolve human problems by studying and mimicking the characteristics of organisms or design elements which can be found in nature. Wireless sensor networks are used in a variety of fields but have limited network lifespans, so various research is being performed on the subject. In particular, research is being performed on observing and modeling the behavioral principles of various organisms to use in bio-inspired algorithms for efficient routing techniques in large-scale networks. In this research, we studied the pheromones used in ant communication and designed the techniques for energy efficiency improvement and traffic distribution by applying them to the proposed network. We designed biomimicry technology called the Wireless Sensor Networks Based on Bio-inspired Algorithms, and by analyzing and applying the similarities between communication systems and biological systems, our system was able to show improved performance in terms of extended network lifespan, optimized path selection, etc. In simulation results, the proposed routing algorithm has a short information collection time and low energy consumption, and through this it is able to maximize network energy efficiency.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29, 1645–1660 (2013)

    Article  Google Scholar 

  2. Lee, M., Hwang, J., Yoe, H.: Agricultural production system based on IoT. In: 2013 IEEE 16th International Conference on Computational Science and Engineering (CSE), pp. 833–837. IEEE (2013)

    Google Scholar 

  3. Passino, K.M.: Biomimicry for Optimization, Control, and Automation. Springer, Heidelberg (2005). https://doi.org/10.1007/b138169

    Book  MATH  Google Scholar 

  4. Dorigo, M., Birattari, M., Stutzle, T.: Ant colony optimization. IEEE Comput. Intell. Mag. 1, 28–39 (2006)

    Article  Google Scholar 

  5. Taneja, S., Kush, A.: A survey of routing protocols in mobile ad hoc networks. Int. J. Innov. Manag. Technol. 1, 279 (2010)

    Google Scholar 

  6. Dorigo, M., Blum, C.: Ant colony optimization theory: a survey. Theor. Comput. Sci. 344, 243–278 (2005)

    Article  MathSciNet  Google Scholar 

  7. Gunes, M., Sorges, U., Bouazizi, I.: ARA-the ant-colony based routing algorithm for MANETs. In: Proceedings. International Conference on Parallel Processing Workshops 2002, pp. 79–85. IEEE (2002)

    Google Scholar 

  8. Stützle, T.: Ant colony optimization. In: Ehrgott, M., Fonseca, C.M., Gandibleux, X., Hao, J.-K., Sevaux, M. (eds.) EMO 2009. LNCS, vol. 5467, p. 2. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-01020-0_2

    Chapter  Google Scholar 

  9. Chakeres, I.D., Belding-Royer, E.M.: AODV routing protocol implementation design. In: Proceedings of the 24th International Conference on Distributed Computing Systems Workshops 2004, pp. 698–703. IEEE (2004)

    Google Scholar 

  10. Ganguli, A., Susca, S., Martínez, S., Bullo, F., Cortes, J.: On collective motion in sensor networks: sample problems and distributed algorithms. In: 44th IEEE Conference on Decision and Control, 2005 and 2005 European Control Conference CDC-ECC 2005, pp. 4239–4244. IEEE (2005)

    Google Scholar 

  11. Handy, M., Haase, M., Timmermann, D.: Low energy adaptive clustering hierarchy with deterministic cluster-head selection. In: 4th International Workshop on Mobile and Wireless Communications Network 2002, pp. 368–372. IEEE (2002)

    Google Scholar 

Download references

Acknowledgements

This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2018-2013-1-00877) supervised by the IITP (Institute for Information & communications Technology Promotion).

Author information

Authors and Affiliations

  1. Department of Agricultural Engineering, NAAS, Jeonbuk, 55365, Republic of Korea

    Meonghun Lee

  2. School of Information Technology Engineering, Catholic University of Daegu, Gyeongbuk, 38430, Republic of Korea

    Haengkon Kim

  3. Department of Information and Communication Engineering, Sunchon National University, Jeonnam, 57922, Republic of Korea

    Hyun Yoe

Authors
  1. Meonghun Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Haengkon Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hyun Yoe
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hyun Yoe .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka shi, Fukuoka, Japan

    Bernady O. Apduhan

  9. Politecnico di Bari, Bari, Italy

    Eufemia Tarantino

  10. Myongji University, Yongin, Korea (Republic of)

    Yeonseung Ryu

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lee, M., Kim, H., Yoe, H. (2018). Wireless Sensor Networks Based on Bio-Inspired Algorithms. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10960. Springer, Cham. https://doi.org/10.1007/978-3-319-95162-1_52

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-95162-1_52

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95161-4

  • Online ISBN: 978-3-319-95162-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation