Data fusion algorithms in cluster-based wireless sensor networks using fuzzy logic theory

  • Authors:
  • Weilian Su;Theodoros C. Bougiouklis

  • Affiliations:
  • Naval Postgraduate School, Department of Electrical Engineering, Monterey, CA;Naval Postgraduate School, Department of Electrical Engineering, Monterey, CA

  • Venue:
  • ICCOM'07 Proceedings of the 11th Conference on 11th WSEAS International Conference on Communications - Volume 11
  • Year:
  • 2007

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Abstract

Data Fusion in wireless sensor networks (WSNs) can improve the performance of a network by eliminating redundancy and power consumption, ensuring fault-tolerance between sensors, and managing effectively the available communication bandwidth between network components. In this paper, we develop a data fusion algorithm that combines the cluster-based design of WSNs using fuzzy logic methods. Our results show that the algorithm eliminates redundant sensor reports.