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Intelligent clustering in wireless sensor networks

Heidari, E ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/NetCoM.2009.61
  3. Abstract:
  4. 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. In this paper, we propose an efficient method based on genetic algorithms (GAs) to solve a sensor network optimization problem. Long communication distances between sensors and a sink in a sensor network can greatly drain the energy of sensors and reduce the lifetime of a network. By clustering a sensor network into a number of independent clusters using a GA, we can greatly minimize the total communication distance, thus prolonging the network lifetime. Simulation results show that our algorithm can quickly find a good solution. © 2009 IEEE
  5. Keywords:
  6. Clustering ; Genetic algorithm ; Channel contention ; Cluster-heads ; Clustering genetic algorithms ; Clustering in wireless sensor networks ; Communication distance ; Efficient method ; Independent clusters ; Network lifetime ; Number of clusters ; Shortest distance ; Simulation result ; Sink-in ; Clustering algorithms ; Communication ; Gallium alloys ; Genetic algorithms ; Sensor networks ; Wireless sensor networks
  7. Source: 1st International Conference on Networks and Communications, NetCoM 2009, 27 December 2009 through 29 December 2009, Chennai ; 2009 , Pages 12-17 ; 9780769539249 (ISBN)
  8. URL: http://ieeexplore.ieee.org/document/5384025