Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/WCNC.2009.4917568 | WCNC |
Keywords | Field | DocType |
adaptive genetic fuzzy control,fuzzy set theory,mobile node,hybrid manets,wireless communication,network traffic load,fuzzy system,internet gateway,control system,network performance,manet environment,fuzzy control,gateway discovery,internet,artificial intelligence,mobile ad hoc networks,mobile computing,manet,stability,logic gates,mobile ad hoc network,adaptive control,genetic algorithm,mobile communication,fuzzy systems,genetic algorithms,ad hoc networks,genetics | Mobile computing,Mobile ad hoc network,Computer science,Computer network,Gateway address,Default gateway,Internetworking,Fuzzy control system,Wireless ad hoc network,Distributed computing,The Internet | Conference |
ISSN | ISBN | Citations |
1525-3511 | 978-1-4244-2947-9 | 3 |
PageRank | References | Authors |
0.38 | 7 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
A. J. Yuste | 1 | 78 | 5.62 |
Francisco David Trujillo | 2 | 22 | 2.12 |
A. Triviño | 3 | 3 | 0.38 |
E. Casilari | 4 | 105 | 12.49 |
A. Diaz Estrella | 5 | 50 | 8.42 |