Self organizing sensor networks using intelligent clustering

  • Authors:
  • Kwangcheol Shin;Ajith Abraham;Sang Yong Han

  • Affiliations:
  • School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea;School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea;School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea

  • Venue:
  • ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
  • Year:
  • 2006

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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.