Skip to main content
SpringerLink
Log in

WSN Clustering Using IC-SVD Algorithms

  • Conference paper
Computer Aided Systems Theory – EUROCAST 2011 (EUROCAST 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6928))

Included in the following conference series:

Abstract

This paper presents a new biomimetic approach for sensor placement, clustering and data routing in Wireless Sensor Networks that can be deployed and managed in ubiquitous applications such as: security, business, automation, home and healthcare, precision agriculture, ecosystem monitoring and many more. Since hierarchical clustering can reduce the resource usage in sensor networks, we investigate Immuno-Computing and SVD-based algorithms for sensor clustering, routing and management of sensornet resources. The simulation results show that the proposed approach can improve robustness and extend the life-span of network infrastructures.

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 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. Aickelin, U., Chen, Q.: On Affinity Measures for Artificial Immune System Movie Recommenders. In: Proceedings of the International Conference on Recent Advances in Soft Computing, RASC 2004, Nottingham, UK (2004)

    Google Scholar 

  2. Ben-Dor, A., Shamir, R., Yakhini, Z.: Clustering Gene Expression Patterns. Journal of Computational Biology 6(3/4), 281–297 (1999)

    Article  Google Scholar 

  3. Cao, Y., He, C., Wang, J.: A Backoff-Based Energy Efficient Clustering Algorithm for Wireless Sensor Networks. In: Jia, X., Wu, J., He, Y. (eds.) MSN 2005. LNCS, vol. 3794, pp. 907–916. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  4. Cerpa, A., Estrin, D.: ASCENT: Adaptive Self-configuring Sensor Networks Topologies. IEEE Trans. on Mobile Computing, Spec. Issue on Mission-Oriented Sensor Networks 3(3) (July-September 2004)

    Google Scholar 

  5. Chaczko, Z.: Towards Epistemic Autonomy in Adaptive Biomimetic Middleware for Cooperative Sensornets. PhD thesis, UTS, Australia (July 2009)

    Google Scholar 

  6. Chaczko, Z., Chiu, C.C., Moses, P.: Cooperative Extended Kohonen Mappings for WSN. In: Conference Proceedings of Computer Aided Systems Theory, Eurocast 2007, Las Palmas, Spain (2009)

    Google Scholar 

  7. de Castro, L.N.: Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications. Chapman and Hall/CRC, Taylor and Francis (2006)

    Google Scholar 

  8. Dimokas, N., Katsaros, D., Manolopoulos, Y.: Node Clustering in Wireless Sensor Networks by Considering Structural Characteristics of the Network Graph. In: 4th International Conference on Information Technology, ITNG 2007, April 2-4, pp. 122–127 (2007)

    Google Scholar 

  9. Fernandess, Y., Malkhi, D.: K-Clustering in Wireless Ad Hoc Networks. In: Proceedings of 2nd ACM Workshop on Principles of Mobile Computing, Toulouse, France, pp. 31–37 (2002)

    Google Scholar 

  10. Friedman, N., Koller, D.: Probabilistic Graphical Models: Principles and Techniques. MIT Press, Cambridge (2009)

    MATH  Google Scholar 

  11. Furuta, T., et al.: A New Cluster Formation Method for Sensor Networks Using Facility Location Theory, Nanzan University, Tech. Rep. 01 (2006), http://www.seto.nanzan-u.ac.jp/msie/nas/techreport/index.html

  12. Hussain, S., et al.: Genetic Algorithm for Energy Efficient Clusters in Wireless Sensor Networks. In: Proc. of the 4th International Conference on Information Technology: New Generations (ITNG 2007), Las Vegas, USA, April 2-4 (2007)

    Google Scholar 

  13. Kang, T., et al.: A Clustering Method for Energy Efficient Routing in Wireless Sensor Networks. In: Proceedings of the 6th WSEAS Int. Conf. on Electronics, Hardware, Wireless and Optical Communications, Corfu Island, Greece, February 16-19 (2007)

    Google Scholar 

  14. Wang, K.:Cluster Validity Analysis Platform, Version 3.5 (2007), http://www.mathworks.com/

Download references

Author information

Authors and Affiliations

  1. FEIT, University of Technology, Sydney, Australia

    Zenon Chaczko

Authors
  1. Zenon Chaczko
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Roberto Moreno-Díaz Franz Pichler Alexis Quesada-Arencibia

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chaczko, Z. (2012). WSN Clustering Using IC-SVD Algorithms. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27579-1_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27579-1_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27578-4

  • Online ISBN: 978-3-642-27579-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation