{"title":"Penalty based weighted cooperative spectrum sensing using normal factor graph","authors":"Guman Kanwar Shekhawat, P. Karmakar","doi":"10.1109/ICACCI.2016.7732029","DOIUrl":null,"url":null,"abstract":"In this paper, we have considered the problem of spectrum sensing in Cognitive Radio Networks (CRN). In these networks, Cooperative Spectrum Sensing (CSS) technique is used to overcome the problem of hidden terminal, fading and shadowing. In this paper, we have proposed the Weighted Cooperative Spectrum Sensing (WCSS) framework using Normal Factor Graph (NFG). The WCSS framework in CRN improves the sensing ability and accuracy of the network. The proposed probabilistic inference modeling of WCSS algorithm deals with the up gradation of weight factor values based on Secondary Users (SU) performance. Simulation result shows that the performance of the proposed scheme is better than the performance of CSS using NFG in time varying fading environment.","PeriodicalId":371328,"journal":{"name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCI.2016.7732029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we have considered the problem of spectrum sensing in Cognitive Radio Networks (CRN). In these networks, Cooperative Spectrum Sensing (CSS) technique is used to overcome the problem of hidden terminal, fading and shadowing. In this paper, we have proposed the Weighted Cooperative Spectrum Sensing (WCSS) framework using Normal Factor Graph (NFG). The WCSS framework in CRN improves the sensing ability and accuracy of the network. The proposed probabilistic inference modeling of WCSS algorithm deals with the up gradation of weight factor values based on Secondary Users (SU) performance. Simulation result shows that the performance of the proposed scheme is better than the performance of CSS using NFG in time varying fading environment.