An adaptive genetic fuzzy control gateway discovery to interconnect hybrid MANETs

  • Authors:
  • A. J. Yuste;F. D. Trujillo;A. Triviño;E. Casilari;A. Díaz-Estrella

  • Affiliations:
  • Department of Telecommunication Engineering, University of Jaen, Jaén, Spain;Department of Electronic Technology, University of Malaga, Málaga, Spain;Department of Electronic Technology, University of Malaga, Málaga, Spain;Department of Electronic Technology, University of Malaga, Málaga, Spain;Department of Electronic Technology, University of Malaga, Málaga, Spain

  • Venue:
  • WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
  • Year:
  • 2009

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Abstract

In wireless communication, Mobile Ad Hoc NETwork (MANET) is a set of mobile nodes that are dynamically and randomly located in such a manner that the wireless link among nodes are often changing due to MANET dynamic features. In this MANET environment, if a device wants to connect to Internet, it must establish a communication with an Internet Gateway. The network performance between mobile nodes and Internet Gateway is affected by the stability, connectivity and network traffic load. The complex interactions among these parameters can be modelled using fuzzy set theory. This paper uses Artificial Intelligence (genetic algorithm and fuzzy system) to tune, adaptively, the control system that uses the gateway discovery schemes. The performance of fuzzy control is evaluated using simulation, and it is compared to others adaptive schemes explained in literature.