A Detection for Positioning Sensor Node Based on Multilayer Perceptron
Node 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...
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Springer
2021
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| Truy cập trực tuyến: | https://lib.hpu.edu.vn/handle/123456789/34468 |
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oai:https:--lib.hpu.edu.vn:123456789-344682024-10-04T08:35:08Z A Detection for Positioning Sensor Node Based on Multilayer Perceptron Đào, Thị Kiên Jiang, Shi Jie Ngô, Trường Giang Nguyễn, Thị Thanh Tân Nguyễn, Trọng Thể Wireless sensor networks Multilayer perceptron Indoor positioning node Predictive positioning Node 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. 2021-11-26T01:53:58Z 2021-11-26T01:53:58Z 2021 Article https://lib.hpu.edu.vn/handle/123456789/34468 en 11 tr. application/pdf application/pdf Springer |
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Trường Đại học Quản lý và Công nghệ Hải Phòng |
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DSpaceHPU |
| language |
English |
| topic |
Wireless sensor networks Multilayer perceptron Indoor positioning node Predictive positioning |
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Wireless sensor networks Multilayer perceptron Indoor positioning node Predictive positioning Đào, Thị Kiên Jiang, Shi Jie Ngô, Trường Giang Nguyễn, Thị Thanh Tân Nguyễn, Trọng Thể A Detection for Positioning Sensor Node Based on Multilayer Perceptron |
| description |
Node 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. |
| format |
Article |
| author |
Đào, Thị Kiên Jiang, Shi Jie Ngô, Trường Giang Nguyễn, Thị Thanh Tân Nguyễn, Trọng Thể |
| author_facet |
Đào, Thị Kiên Jiang, Shi Jie Ngô, Trường Giang Nguyễn, Thị Thanh Tân Nguyễn, Trọng Thể |
| author_sort |
Đào, Thị Kiên |
| title |
A Detection for Positioning Sensor Node Based on Multilayer Perceptron |
| title_short |
A Detection for Positioning Sensor Node Based on Multilayer Perceptron |
| title_full |
A Detection for Positioning Sensor Node Based on Multilayer Perceptron |
| title_fullStr |
A Detection for Positioning Sensor Node Based on Multilayer Perceptron |
| title_full_unstemmed |
A Detection for Positioning Sensor Node Based on Multilayer Perceptron |
| title_sort |
detection for positioning sensor node based on multilayer perceptron |
| publisher |
Springer |
| publishDate |
2021 |
| url |
https://lib.hpu.edu.vn/handle/123456789/34468 |
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1812011986087575552 |