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Self Organizing Sensor Networks Using Intelligent Clustering

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Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3983))

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Abstract

Minimization of the number of cluster heads in a wireless sensor network is a very important problem to reduce channel contention and to improve the efficiency of the algorithm when executed at the level of cluster-heads. This paper proposes a Self Organizing Sensor (SOS) network based on an intelligent clustering algorithm which does not require many user defined parameters and random selection to form clusters like in Algorithm for Cluster Establishment (ACE) [2]. The proposed SOS algorithm is compared with ACE and the empirical results clearly illustrate that the SOS algorithm can reduce the number of cluster heads.

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References

  1. Kahn, J.M., Katz, R.H., Pister, K.S.: Next Century Challenges: Mobile Networking for “Smart Dust”. In: Proceedings of Mobicom (August 1999)

    Google Scholar 

  2. Chan, H., Perrig, A.: ACE: An Emergent Algorithm for Highly Uniform Cluster Formation. In: 2004 European Workshop on Sensor Networks, pp. 154–171 (2004)

    Google Scholar 

  3. Younis, Fahmy, S.: Distributed Clustering in Ad-hoc Sensor Networks: A Hybrid, Energy-Efficient Approach. In: Proceedings of IEEE INFOCOM (March 2004)

    Google Scholar 

  4. Akyildiz, I.F., Su, W., Sankarsubramaniam, Y., Cayirci, E.: Wireless Sensor Networks: a survey. Computer Networks 38, 393–422 (2002)

    Article  Google Scholar 

  5. Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: An Application Specific Protocol Architecture for Wireless Microsensor Networks. IEEE Transactions on Wireless Communications 1(4) (October 2002)

    Google Scholar 

  6. Guru, S.M., Hsu, A., Halgamuge, S., Fernando, S.: An Extended Growing Self-Organizing Map for Selection of Clusters in Sensor Networks. International Journal of Distributed Sensor Networks 1(2) (April-June 2005)

    Google Scholar 

  7. Mhatre, V., Rosenberg, C.: Homogeneous vs. Heterogeneous Clustered Sensor Networks: A Comparative Study. In: 2004 IEEE International Conference on Communications (ICC 2004), Paris, France (June 2004)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Chung-Ang University, 221, Heukseok-dong, Dongjak-gu, Seoul, 156-756, Korea

    Kwangcheol Shin, Ajith Abraham & Sang Yong Han

Authors
  1. Kwangcheol Shin
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  2. Ajith Abraham
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  3. Sang Yong Han
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd.,, Cathedral House 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

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© 2006 Springer-Verlag Berlin Heidelberg

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Shin, K., Abraham, A., Han, S.Y. (2006). Self Organizing Sensor Networks Using Intelligent Clustering. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751632_5

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  • DOI: https://doi.org/10.1007/11751632_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34077-5

  • Online ISBN: 978-3-540-34078-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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