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Using Artificial Intelligence in Wireless Sensor Routing Protocols

 

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Author: Barbancho Concejero, Julio
León de Mora, Carlos
Molina Cantero, Francisco Javier
Barbancho Concejero, Antonio
Department: Universidad de Sevilla. Departamento de Tecnología Electrónica
Date: 2006
Published in: KES 2006: 10th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (2006), p 475-482
ISBN/ISSN: 978-3-540-46535-5
0302-9743
Document type: Presentation
Abstract: This paper represents a dissertation about how an artificial intelligence technique can be applied to wireless sensor networks. Due to the constraints on data processing and power consumption, the use of artificial intelligence has been historically discarded in these kind of networks. 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.
Cite: Barbancho Concejero, J., León de Mora, C., Molina Cantero, F.J. y Barbancho Concejero, A. (2006). Using Artificial Intelligence in Wireless Sensor Routing Protocols. En KES 2006: 10th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (475-482), Bournemouth, UK: Springer.
Size: 444.5Kb
Format: PDF

URI: https://hdl.handle.net/11441/77168

DOI: 10.1007/11892960_58

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