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Novel Framework forEnhancing Data Quality using Data Correlation Factor in Wireless Sensor Network

Show simple item record Gudnavar, Anand N, Dr. Manjanaik 2022-09-30T18:10:09Z 2022-09-30T18:10:09Z 2022-09-30
dc.identifier.issn 2210-142X
dc.description.abstract Sensors are randomly deployed in Wireless Sensor Network (WSN)and it is observed that the sensor density is increasing rapidly. Owing to which there ispresence of similar forms of singular event data captured by different sensors. This problem of data correlation is closely associated with cluster formation process, in whichenergy efficiencyis emphasized compared to data quality.Existing reviews show that clustering approaches requiremajor revisionsin order to ensure betterdata quality. Therefore, the proposed system introduces a clustering mechanism that uses data correlation as the essential parameter for the selection of clusterhead,in order to control the transmission oferror-prone data packetsduring the process of data aggregation. Using analytical research methodology, the proposed system introduces three sequential clustering algorithms for ensuring better selection of clusterheadon the basis of best data correlation value. The simulated outcome of the proposed study shows that,it offers better data quality in contrast totheexisting system. en_US
dc.publisher University Of Bahrain en_US
dc.subject DataQuality en_US
dc.subject Redundancy en_US
dc.subject Clustering en_US
dc.subject Selection en_US
dc.subject Wireless Sensor Network en_US
dc.title Novel Framework forEnhancing Data Quality using Data Correlation Factor in Wireless Sensor Network en_US
dc.volume 12 en_US
dc.issue 1 en_US
dc.pagestart 723 en_US
dc.pageend 730 en_US
dc.contributor.authorcountry India en_US
dc.contributor.authoraffiliation Research Scholar, UBDTCE, Davanagere en_US
dc.contributor.authoraffiliation Professor, Dept.of ECE, UBDTCE, Davanagere en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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