An algorithm based on genetic fuzzy systems for the selection of routes in multi-sink wireless sensor networks

  • Authors:
  • Lliam B. Leal;Marcus Vincius de S. Lemos;Raimir Holanda Filho;Ricardo A. L. Rabelo;Fabio A. S. Borges

  • Affiliations:
  • Universidade de Fortaleza, Fortuleza CE Brasil, Terseina, PI, Brseil;Universidade de Fortaleza, Fortuleza CE Brasil, Terseina, PI, Brseil;Universidade de Fortaleza, Fortuleza CE Brasil, Terseina, PI, Brseil;Universidade de Fortaleza, Fortuleza CE Brasil, Terseina, PI, Brseil;Universidade de Fortaleza, Fortuleza CE Brasil, Terseina, PI, Brseil

  • Venue:
  • HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
  • Year:
  • 2011

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Abstract

Wireless sensor networks (WSNs) are composed of sensor nodes in order to detect and transmit features from the physical environment. Generally, the sensor nodes transmit information to the special node called sink. Some recent researches have led to the selection of routes in sensor networks with multiple sink nodes. The approach proposed by this paper presents the application of Genetic Fuzzy System (GFSs) for the selection of routes in WSNs, in order to make the communication between multiple sensor nodes and sink nodes. The results obtained through simulations demonstrated a sensor network with a longer lifetime, through the choice of the adequate sink used for sending packets through the network in order to lind the best routes.