An analytical model to estimate path duration in MANETs
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
Expert Systems with Applications: An International Journal
Modeling MANET Utilizing Artificial Intelligent
EMS '08 Proceedings of the 2008 Second UKSIM European Symposium on Computer Modeling and Simulation
An efficient k-level traffic control scheme with congestion awareness in wireless mesh networks
International Journal of Ad Hoc and Ubiquitous Computing
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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.