Skip to main content
SpringerLink
Log in

Optimization of Cluster Heads for Energy Efficiency in Large-Scale Wireless Sensor Networks

  • Conference paper
Ad Hoc Networks (ADHOCNETS 2009)

Included in the following conference series:

Abstract

Many complex sensor network applications require deploying a large number of inexpensive and small sensors in a vast geographical region to achieve quality through quantity. Hierarchical clustering is generally considered as an efficient and scalable way to facilitate the management and operation of such large-scale networks and minimize the total energy consumption for prolonged lifetime. Judicious selection of cluster heads for data integration and communication is critical to the success of applications based on hierarchical sensor networks organized as layered clusters. We investigate the problem of selecting nodes in a pre-deployed sensor network to be the cluster heads to minimize the total energy needed for data gathering. We rigorously derive an analytical formula to optimize the number of cluster heads in sensor networks under uniform node distribution, and propose a Distance-based Crowdedness Clustering algorithm to determine the cluster heads in sensor networks under general node distribution. The results from an extensive set of experiments on a large number of simulated sensor networks illustrate the performance superiority of the proposed solution over the clustering schemes based on k-means algorithm.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abbasi, A.A., Younis, M.F.: A survey on clustering algorithms for wireless sensor networks. J. of Computer Communications 30(14-15), 2826–2841 (2007)

    Article  Google Scholar 

  2. Bandyopadhyay, S., Coyle, E.J.: An energy efficient hierarchical clustering algorithm for wireless sensor networks. In: Proc. of IEEE INFOCOM, vol. 3, pp. 1713–1723 (2003)

    Google Scholar 

  3. Das, G.K., Das, S., Nandy, S.C., Sinha, B.P.: Efficient algorithm for placing a given number of base stations to cover a convex region. J. of Parallel and Distributed Computing 66(11), 1353–1358 (2006)

    Article  MATH  Google Scholar 

  4. Dasgupta, K., Kukreja, M., Kalpakis, K.: Topology-aware placement and role assignment for energy-efficient information gathering in sensor networks. In: Proc. of the 8th IEEE Int. Symposium on Computers and Communications, pp. 341–348 (2003)

    Google Scholar 

  5. Du, X., Xiao, Y.: Energy efficient chessboard clustering and routing in heterogeneous sensor network. Int. J. of Wireless and Mobile Computing, IJWMC (2007)

    Google Scholar 

  6. Ergen, S.C., Varaiya, P.: Optimal placement of relay nodes for energy efficiency in sensor networks. In: Proc. of IEEE Int. Conf. on Communications, vol. 8, pp. 3473–3479 (2006)

    Google Scholar 

  7. Guha, S., Khuller, S.: Approximation algorithms for connected dominating sets. Journal of Algorithmica 20(4), 374–387 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  8. Heinzelman, W.R.: Application-specific protocol architectures for wireless networks. PhD thesis, Massachusetts Institute of Technology (June 2000)

    Google Scholar 

  9. Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proc. of the 33rd Annual Hawaii Int. Conf. on System Sciences, vol. 2, pp. 3005–3014 (2000)

    Google Scholar 

  10. Hyder, A.K., Shahbazian, E., Waltz, E.: Multisensor Fusion. Kluwer Academic, Dordrecht (2002)

    Book  MATH  Google Scholar 

  11. Jayasimha, D.N., Iyengar, S.S.: Information integration and synchronization in distributed sensor networks. IEEE Trans. Systems, Man, and Cybernetics 21(5), 1032–1043 (1991)

    Article  Google Scholar 

  12. Kim, H., Kim, S.W., Lee, S., Son, B.: Estimation of the optimal number of cluster-heads in sensor network. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3683, pp. 87–94. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  13. Kim, H., Seok, Y., Choi, N., Choi, Y., Kwon, T.: Optimal multi-sink positioning and energy-efficient routing in wireless sensor networks. In: Kim, C. (ed.) ICOIN 2005. LNCS, vol. 3391, pp. 264–274. Springer, Heidelberg (2005)

    Google Scholar 

  14. Lloyd, E.L., Xue, G.: Relay node placement in wireless sensor networks. IEEE Trans. on Computers 56(1), 134–138 (2007)

    Article  MathSciNet  Google Scholar 

  15. Mao, Y., Wu, M.: Coordinated sensor deployment for improving secure communications and sensing coverage. In: Proc. of the 3rd ACM Workshop on Security of Ad Hoc and Sensor Networks, Alexandria, USA, pp. 117–128 (2005)

    Google Scholar 

  16. Oyman, E.I., Ersoy, C.: Multiple sink network design problem in large scale wireless sensor networks. In: Proc. of Int. Conf. on Communications, June 2004, vol. 6, pp. 3663–3667 (2004)

    Google Scholar 

  17. Pan, J., Cai, L., Hou, Y.T., Shi, Y., Shen, S.X.: Optimal base-station locations in two-tiered wireless sensor networks. IEEE Trans. on Mobile Computing 4(5), 458–473 (2005)

    Article  Google Scholar 

  18. Savvides, A., Han, C., Strivastava, M.: Dynamic fine-grained localization in ad-hoc networks of sensors. In: Proc. of ACM MOBICOM, pp. 166–179 (2001)

    Google Scholar 

  19. Selvakennedy, S., Sinnappan, S.: An energy-efficient clustering algorithm for multihop data gathering in wireless sensor networks 1(1) (April 2006)

    Google Scholar 

  20. Srinivas, A., Zussman, G., Modiano, E.: Mobile backbone networks - construction and maintenance. In: Proc. of the 7th ACM Int. Symposium on Mobile Ad Hoc Networking and Computing, Florence, Italy, pp. 166–177 (2006)

    Google Scholar 

  21. Tao, Y., Zheng, Y.: The combination of the optimal number of cluster-heads and energy adaptive cluster-head selection algorithm in wireless sensor networks. In: Proc. of Int. Conf. on Wireless Communications, Networking and Mobile Computing, September 2006, pp. 1–4 (2006)

    Google Scholar 

  22. Vincze, Z., Vida, R., Vidacs, A.: Deploying multiple sinks in multi-hop wireless sensor networks. In: IEEE Int. Conf. on Pervasive Services, July 2007, pp. 55–63 (2007)

    Google Scholar 

  23. Wang, L.C., Lin, C.M., Wang, C.W.: Optimizing the number of clusters in a wireless sensor network using cross-layer analysis. In: Proc. of IEEE Int. Conf. on Mobile Ad-hoc and Sensor Systems, pp. 585–587 (2004)

    Google Scholar 

  24. Xu, N., Cassandras, C.G.: Optimal cluster-head deployment in wireless sensor networks with redundant link requirements. In: Proc. of the 2nd Int. Conf. on Performance Evaluation Methodologies and Tools, pp. 1–9 (2007)

    Google Scholar 

  25. Yang, H., Sikdar, B.: Optimal cluster head selection in the LEACH architecture. In: 26th IEEE Int. Performance Computing and Communications Conf., New Orleans, LA, April 2007, pp. 93–100 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Memphis, Memphis, TN, 38152, USA

    Yi Gu & Qishi Wu

Authors
  1. Yi Gu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qishi Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. National Mobile Communications Research Lab, Southeast University, Nanjing, Jiangsu, China

    Jun Zheng

  2. Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA

    Shiwen Mao

  3. Department of Electrical and Computer Engineering, Virginia Tech, 24061, Blacksburg, VA, USA

    Scott F. Midkiff

  4. Network Systems, ArgonST Inc., San Diego, CA, USA

    Hua Zhu

Rights and permissions

Reprints and permissions

Copyright information

© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Gu, Y., Wu, Q. (2010). Optimization of Cluster Heads for Energy Efficiency in Large-Scale Wireless Sensor Networks. In: Zheng, J., Mao, S., Midkiff, S.F., Zhu, H. (eds) Ad Hoc Networks. ADHOCNETS 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11723-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-11723-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11722-0

  • Online ISBN: 978-3-642-11723-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation