Skip to main content

A Clustering Algorithm of Wireless Sensor Networks Based on PSO

  • Conference paper
Book cover Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7002))

Abstract

The routing protocol of WSN based on clustering hierarchy has been one of the important research topics. An improved strategy based on LEACH (Low Energy Adaptive Clustering Hierarchy) is proposed in this paper, which uses the PSO algorithm to optimize clustering process by considering the energy, the communication costs, the load balance and other factors to determine the cluster-head node. The simulation results show that the improved algorithm can solve the problems in LEACH, such as uneven clustering, uneven load of the cluster-head node and other disadvantages, and it can prolong the WSN lifetime.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Heinzelman, W.: Application-Specific protocol architectures for wireless networks. Ph.D. Thesis. Massachusetts Institute of Technology, Boston (2000)

    Google Scholar 

  2. Younis, O., Heed, F.S.: A hybrid energy-efficient, distributed clustering approach for ad-hoc sensor networks. IEEE Trans. On Mobile Computing 3(4), 660–669 (2004)

    Article  Google Scholar 

  3. Manjeshwar, A., Sgrawal, D.P.: TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks. In: Proc. of the 15th Parallel and Distributed Processing Symp. in San Francisco, pp. 2009–2015. IEEE Computer Society, Los Alamitos (2001)

    Google Scholar 

  4. Lindsey, S., Raghavendra, C.S.: PEGASIS: Power-Efficient gathering in sensor information systems. In: Proc. of the IEEE Aerospace Conf., pp. 1125–1130. IEEE Aerospace and Electronic Systems Society, Montana (2002)

    Google Scholar 

  5. Kennedy, J., Eberhart, R.C., Shi, Y.: Swarm Intelligence. Morgan Kaufmann, San Francisco (2001)

    Google Scholar 

  6. Zeng, J., Jie, J., Cui, Z.: Particle swarm algorithm. Science Press, Beijing (2004)

    Google Scholar 

  7. Ying, L., Haibin, Y., Peng, C.: Application of PSO optimization based on clustering of wireless sensor network routing protocols. Journal of Control and Decision 21(4), 453–456 (2006)

    MATH  Google Scholar 

  8. Zou, X., Cao, Y., Liu, X., Gao, X.: Based on discrete particle swarm of WSN clustering routing algorithm. Journal of Wuhan University 54(1), 099–103 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Xu, Y., Ji, Y. (2011). A Clustering Algorithm of Wireless Sensor Networks Based on PSO. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23881-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23880-2

  • Online ISBN: 978-3-642-23881-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics