Giving neurons to sensors: an approach to qos management through artificial intelligence in wireless networks

  • Authors:

  • Julio Barbancho;Carlos León;Javier Molina;Antonio Barbancho

  • Affiliations:

  • Department of Electronic Technology, University of Seville., Seville, Spain;Department of Electronic Technology, University of Seville., Seville, Spain;Department of Electronic Technology, University of Seville., Seville, Spain;Department of Electronic Technology, University of Seville., Seville, Spain

  • Venue:
  • PWC'06 Proceedings of the 11th IFIP TC6 international conference on Personal Wireless Communications
  • Year:
  • 2006

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Abstract

For the latest ten years, many authors have focused their investigations in wireless sensor networks. Different researching issues have been extensively developed: power consumption, MAC protocols, self-organizing network algorithms, data-aggregation schemes, routing protocols, QoS management, etc. Due to the constraints on data processing and power consumption, the use of artificial intelligence has been historically discarded. However, in some special scenarios the features of neural networks are appropriate to develop complex tasks such as path discovery. In this paper, we explore the performance of two very well known routing paradigms, directed diffusion and Energy-Aware Routing, and our routing algorithm, named SIR, which has the novelty of being based on the introduction of neural networks in every sensor node. Extensive simulations over our wireless sensor network simulator, OLIMPO, have been carried out to study the efficiency of the introduction of neural networks. A comparison of the results obtained with every routing protocol is analyzed. This paper attempts to encourage the use of artificial intelligence techniques in wireless sensor nodes.