A Framework Model for Data Reliability in Wireless Sensor Networks

dc.contributor.author	Kalayci, I.
dc.contributor.author	Ercan, T.
dc.date.accessioned	2021-01-25T19:33:55Z
dc.date.available	2021-01-25T19:33:55Z
dc.date.issued	2016
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7829
dc.description.abstract	In this study a model for data reliability in wireless sensor networks is proposed, in which machine learning methods are used. Proposed framework includes data modelling, missing data prediction, anomaly detection, data fusion and trust mechanism phases.
dc.language.iso	Turkish
dc.publisher	IEEE
dc.title	A Framework Model for Data Reliability in Wireless Sensor Networks
dc.type	Proceedings Paper
dc.relation.firstpage	1793
dc.relation.lastpage	1796
dc.description.woscategory	Engineering, Electrical & Electronic
dc.description.wosresearcharea	Engineering
dc.identifier.wosid	WOS:000391250900425
dc.identifier.ctitle	24th Signal Processing and Communication Application Conference (SIU)
dc.identifier.cdate	MAY 16-19, 2016

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