Enhanced the Weighted Centroid Localization Algorithm Based on Received Strength Signal in Indoor Wireless Sensor Network
A challenging problem that arises in the Wireless Sensor Network (WSN) is localization. It is essential for applications that need information about target positions, are inside an indoor environment. The Localization scheme presented in this experiment consists of four anchor nodes that change thei...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universitas Komputer Indonesia
2020-12-01
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| Series: | International Journal of Informatics, Information System and Computer Engineering |
| Subjects: | |
| Online Access: | https://ojs.unikom.ac.id/index.php/injiiscom/article/view/4016/2131 |
| _version_ | 1797991491351609344 |
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| author | Medhav Kumar Goonjur Irfan Dwiguna Sumitra Sri Supatmi |
| author_facet | Medhav Kumar Goonjur Irfan Dwiguna Sumitra Sri Supatmi |
| author_sort | Medhav Kumar Goonjur |
| collection | DOAJ |
| description | A challenging problem that arises in the Wireless Sensor Network (WSN) is localization. It is essential for applications that need information about target positions, are inside an indoor environment. The Localization scheme presented in this experiment consists of four anchor nodes that change their position coordinates and one target node that is used to control the distance. The Localization algorithm designed in this paper makes use of the combination of two algorithms; the Received Strength Signal Indication (RSSI) and Weight Centroid Localization Algorithm (WCLA), called the RSSI-WCLA algorithm. The laboratory results show that the fusion between the RSSI-WCLA algorithm is outstanding than RSSI and WCLA algorithms itself in terms of localization accuracy. However, our proposed algorithm shows that the maximum error distance is less than 0.096m. |
| first_indexed | 2024-04-11T08:52:01Z |
| format | Article |
| id | doaj.art-7e2b83400a064385a25d554e44345864 |
| institution | Directory Open Access Journal |
| issn | 2810-0670 2775-5584 |
| language | English |
| last_indexed | 2024-04-11T08:52:01Z |
| publishDate | 2020-12-01 |
| publisher | Universitas Komputer Indonesia |
| record_format | Article |
| series | International Journal of Informatics, Information System and Computer Engineering |
| spelling | doaj.art-7e2b83400a064385a25d554e443458642022-12-22T04:33:27ZengUniversitas Komputer IndonesiaInternational Journal of Informatics, Information System and Computer Engineering2810-06702775-55842020-12-0111132210.34010/injiiscom.v1i1.4016Enhanced the Weighted Centroid Localization Algorithm Based on Received Strength Signal in Indoor Wireless Sensor NetworkMedhav Kumar Goonjur0Irfan Dwiguna Sumitra1Sri Supatmi2Orange Business Services (Mauritius) Ltd, MauritiusMagister Sistem Informasi, Universitas Komputer Indonesia, IndonesiaMagister Sistem Informasi, Universitas Komputer Indonesia, IndonesiaA challenging problem that arises in the Wireless Sensor Network (WSN) is localization. It is essential for applications that need information about target positions, are inside an indoor environment. The Localization scheme presented in this experiment consists of four anchor nodes that change their position coordinates and one target node that is used to control the distance. The Localization algorithm designed in this paper makes use of the combination of two algorithms; the Received Strength Signal Indication (RSSI) and Weight Centroid Localization Algorithm (WCLA), called the RSSI-WCLA algorithm. The laboratory results show that the fusion between the RSSI-WCLA algorithm is outstanding than RSSI and WCLA algorithms itself in terms of localization accuracy. However, our proposed algorithm shows that the maximum error distance is less than 0.096m.https://ojs.unikom.ac.id/index.php/injiiscom/article/view/4016/2131indoor localizationrssiwclawsn |
| spellingShingle | Medhav Kumar Goonjur Irfan Dwiguna Sumitra Sri Supatmi Enhanced the Weighted Centroid Localization Algorithm Based on Received Strength Signal in Indoor Wireless Sensor Network International Journal of Informatics, Information System and Computer Engineering indoor localization rssi wcla wsn |
| title | Enhanced the Weighted Centroid Localization Algorithm Based on Received Strength Signal in Indoor Wireless Sensor Network |
| title_full | Enhanced the Weighted Centroid Localization Algorithm Based on Received Strength Signal in Indoor Wireless Sensor Network |
| title_fullStr | Enhanced the Weighted Centroid Localization Algorithm Based on Received Strength Signal in Indoor Wireless Sensor Network |
| title_full_unstemmed | Enhanced the Weighted Centroid Localization Algorithm Based on Received Strength Signal in Indoor Wireless Sensor Network |
| title_short | Enhanced the Weighted Centroid Localization Algorithm Based on Received Strength Signal in Indoor Wireless Sensor Network |
| title_sort | enhanced the weighted centroid localization algorithm based on received strength signal in indoor wireless sensor network |
| topic | indoor localization rssi wcla wsn |
| url | https://ojs.unikom.ac.id/index.php/injiiscom/article/view/4016/2131 |
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