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Application of fuzzy logic in cognitive radio networks

Cognitive Radio Network as an emerging technology in the area of communication mainly seek improvement of network quality of services by providing capabilities that did not exist in earlier designs of computer communication.. CR networks, with the capability of using AI techniques, will provide an u...

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Main Author: Yadollahie Kakh, Hassan
Format: Thesis
Published: 2010
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/19158/
http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Application+of+fuzzy+logic+in+cognitive+radio+networks&te=
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spelling my.utm.191582017-06-20T02:21:34Z http://eprints.utm.my/id/eprint/19158/ Application of fuzzy logic in cognitive radio networks Yadollahie Kakh, Hassan QA75 Electronic computers. Computer science Cognitive Radio Network as an emerging technology in the area of communication mainly seek improvement of network quality of services by providing capabilities that did not exist in earlier designs of computer communication.. CR networks, with the capability of using AI techniques, will provide an ultimate environment aware communication paradigm in network communications. In multi network available environments, it is {X)ssible to select network based on many attributes they promote. In order to have efficient communication, there should be ability of reflect users and different applications requirements from their networking, so that user engage itself in the process of selection of the network. Since user do not have enough information about technical consideration of network connection and also in order to deal with the concept of uncertainty, fuzzy logic scheme is a solut ion, which would let users reflect their expectations in terms of fuzzy rules and, in tum use that rules as a tool for multi objective decision support in the process of network selection. In this project new method called CR-FENS is proposed, that aims to best reflect the requirements of user in the process of network selection. At the same time algorithm let user nodes exchange their state information about available networks in the environment, helping new nodes to better decide with having more set of information available. This approach is evaluated and compared with an existing fuzzy network selection algorithm through the simulation and data analysis study. 2010 Thesis NonPeerReviewed Yadollahie Kakh, Hassan (2010) Application of fuzzy logic in cognitive radio networks. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System. http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Application+of+fuzzy+logic+in+cognitive+radio+networks&te=
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Yadollahie Kakh, Hassan
Application of fuzzy logic in cognitive radio networks
description Cognitive Radio Network as an emerging technology in the area of communication mainly seek improvement of network quality of services by providing capabilities that did not exist in earlier designs of computer communication.. CR networks, with the capability of using AI techniques, will provide an ultimate environment aware communication paradigm in network communications. In multi network available environments, it is {X)ssible to select network based on many attributes they promote. In order to have efficient communication, there should be ability of reflect users and different applications requirements from their networking, so that user engage itself in the process of selection of the network. Since user do not have enough information about technical consideration of network connection and also in order to deal with the concept of uncertainty, fuzzy logic scheme is a solut ion, which would let users reflect their expectations in terms of fuzzy rules and, in tum use that rules as a tool for multi objective decision support in the process of network selection. In this project new method called CR-FENS is proposed, that aims to best reflect the requirements of user in the process of network selection. At the same time algorithm let user nodes exchange their state information about available networks in the environment, helping new nodes to better decide with having more set of information available. This approach is evaluated and compared with an existing fuzzy network selection algorithm through the simulation and data analysis study.
format Thesis
author Yadollahie Kakh, Hassan
author_facet Yadollahie Kakh, Hassan
author_sort Yadollahie Kakh, Hassan
title Application of fuzzy logic in cognitive radio networks
title_short Application of fuzzy logic in cognitive radio networks
title_full Application of fuzzy logic in cognitive radio networks
title_fullStr Application of fuzzy logic in cognitive radio networks
title_full_unstemmed Application of fuzzy logic in cognitive radio networks
title_sort application of fuzzy logic in cognitive radio networks
publishDate 2010
url http://eprints.utm.my/id/eprint/19158/
http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Application+of+fuzzy+logic+in+cognitive+radio+networks&te=
_version_ 1643647072161759232
score 13.211869

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