Localization technique of IoT Nodes Using Artificial Neural Networks (ANN)
One of the ways to improve calculations related to determining the position of a node in the IoT measurement system is to use artificial neural networks (ANN) to calculate coordinates. The method described in the article is based on the measurement of the RSSI (Received Signal Strength Indicator), w...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2020-12-01
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| Series: | International Journal of Electronics and Telecommunications |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/117134/PDF/103_2795_Krupanek_skl_ber.pdf |
| _version_ | 1798040728620761088 |
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| author | Beata Krupanek Ryszard Bogacz |
| author_facet | Beata Krupanek Ryszard Bogacz |
| author_sort | Beata Krupanek |
| collection | DOAJ |
| description | One of the ways to improve calculations related to determining the position of a node in the IoT measurement system is to use artificial neural networks (ANN) to calculate coordinates. The method described in the article is based on the measurement of the RSSI (Received Signal Strength Indicator), which value is then processed by the neural network. Hence, the proposed system works in two stages. In the first stage, RSSI coefficient samples are taken, and then the node location is determined on an ongoing basis. Coordinates anchor nodes (i.e. sensors with fixed and previously known positions) and the matrix of RSSI coefficients are used in the learning process of the neural network. Then the RSSI matrix determined for the system in which the nodes with unknown positions are located is fed into the neural network inputs. The result of the work is a system and algorithm that allows determining the location of the object without processing data separately in nodes with low computational performance. |
| first_indexed | 2024-04-11T22:11:35Z |
| format | Article |
| id | doaj.art-3eaefd894a7341c8bd759376bef0c997 |
| institution | Directory Open Access Journal |
| issn | 2081-8491 2300-1933 |
| language | English |
| last_indexed | 2024-04-11T22:11:35Z |
| publishDate | 2020-12-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | International Journal of Electronics and Telecommunications |
| spelling | doaj.art-3eaefd894a7341c8bd759376bef0c9972022-12-22T04:00:32ZengPolish Academy of SciencesInternational Journal of Electronics and Telecommunications2081-84912300-19332020-12-01vol. 66No 4769774https://doi.org/10.24425/ijet.2020.134039Localization technique of IoT Nodes Using Artificial Neural Networks (ANN)Beata KrupanekRyszard BogaczOne of the ways to improve calculations related to determining the position of a node in the IoT measurement system is to use artificial neural networks (ANN) to calculate coordinates. The method described in the article is based on the measurement of the RSSI (Received Signal Strength Indicator), which value is then processed by the neural network. Hence, the proposed system works in two stages. In the first stage, RSSI coefficient samples are taken, and then the node location is determined on an ongoing basis. Coordinates anchor nodes (i.e. sensors with fixed and previously known positions) and the matrix of RSSI coefficients are used in the learning process of the neural network. Then the RSSI matrix determined for the system in which the nodes with unknown positions are located is fed into the neural network inputs. The result of the work is a system and algorithm that allows determining the location of the object without processing data separately in nodes with low computational performance.https://journals.pan.pl/Content/117134/PDF/103_2795_Krupanek_skl_ber.pdfwireless networksnode localizationlocation errorswsniotneural networks |
| spellingShingle | Beata Krupanek Ryszard Bogacz Localization technique of IoT Nodes Using Artificial Neural Networks (ANN) International Journal of Electronics and Telecommunications wireless networks node localization location errors wsn iot neural networks |
| title | Localization technique of IoT Nodes Using Artificial Neural Networks (ANN) |
| title_full | Localization technique of IoT Nodes Using Artificial Neural Networks (ANN) |
| title_fullStr | Localization technique of IoT Nodes Using Artificial Neural Networks (ANN) |
| title_full_unstemmed | Localization technique of IoT Nodes Using Artificial Neural Networks (ANN) |
| title_short | Localization technique of IoT Nodes Using Artificial Neural Networks (ANN) |
| title_sort | localization technique of iot nodes using artificial neural networks ann |
| topic | wireless networks node localization location errors wsn iot neural networks |
| url | https://journals.pan.pl/Content/117134/PDF/103_2795_Krupanek_skl_ber.pdf |
| work_keys_str_mv | AT beatakrupanek localizationtechniqueofiotnodesusingartificialneuralnetworksann AT ryszardbogacz localizationtechniqueofiotnodesusingartificialneuralnetworksann |