Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/34468
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dc.contributor.authorĐào, Thị Kiênen_US
dc.contributor.authorJiang, Shi Jieen_US
dc.contributor.authorNgô, Trường Giangen_US
dc.contributor.authorNguyễn, Thị Thanh Tânen_US
dc.contributor.authorNguyễn, Trọng Thểen_US
dc.date.accessioned2021-11-26T01:53:58Z
dc.date.available2021-11-26T01:53:58Z
dc.date.issued2021en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/34468
dc.description.abstractNode positioning accuracy and the environmental impact on devices in wireless sensor networks (WSN) have been paid attention much by scholars recently. This paper proposed a prediction method for the sensor node positioning based on a multilayer perception in the neural networks. The node locations based on its signals’ strength characteristics are captured to be a dataset. The features about the signal strength of the node considered to extract from a large number of signal strength samples included noise that is measured by the nearest neighbor estimation for inputs of the scheme system. The experimental results compared with the other method in the literature shows that the proposed scheme provides higher positioning accuracy and the lower average error than the competitors.en_US
dc.format.extent11 tr.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectWireless sensor networksen_US
dc.subjectMultilayer perceptronen_US
dc.subjectIndoor positioning nodeen_US
dc.subjectPredictive positioningen_US
dc.titleA Detection for Positioning Sensor Node Based on Multilayer Perceptronen_US
dc.typeArticleen_US
dc.departmentBài báo khoa họcen_US
Appears in Collections:Bài báo khoa học

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