UWSNs positioning technology based on iterative optimization and data position correction
Abstract Underwater wireless sensor networks (UWSNs) have played an increasingly important role in the fields of ocean exploration, underwater environment monitoring, underwater navigation target tracking, terrain-assisted navigation, and so on. However, UWSNs are a dynamic network, which are unlike...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-08-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-020-01771-9 |
| _version_ | 1818279060306919424 |
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| author | Xinxin Wang Danyang Qin Min Zhao Ruolin Guo Teklu Merhawit Berhane |
| author_facet | Xinxin Wang Danyang Qin Min Zhao Ruolin Guo Teklu Merhawit Berhane |
| author_sort | Xinxin Wang |
| collection | DOAJ |
| description | Abstract Underwater wireless sensor networks (UWSNs) have played an increasingly important role in the fields of ocean exploration, underwater environment monitoring, underwater navigation target tracking, terrain-assisted navigation, and so on. However, UWSNs are a dynamic network, which are unlike terrestrial wireless sensor networks, and the complexity of underwater environment poses many challenges for the positioning of sensor nodes. Aiming at the difficulty of location update, this paper proposes a UWSN positioning technology based on iterative optimization and data position correction (IO-DPC). Firstly, particle swarm optimization technology is used to perform the rough positioning stage of sensor nodes, and iterative optimization is performed for many times. Then, data position correction work is carried out, and a scheme is designed for correcting underwater sensor data position when base station receives the data packet. An underwater ocean current model is established, and IO-DPC technology is simulated in various underwater simulation environments. Experimental results show that IO-DPC technology has higher positioning accuracy than other traditional technologies. |
| first_indexed | 2024-12-12T23:27:19Z |
| format | Article |
| id | doaj.art-be85394f8a674f71ae70190f258de369 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-12T23:27:19Z |
| publishDate | 2020-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-be85394f8a674f71ae70190f258de3692022-12-22T00:08:00ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992020-08-012020111910.1186/s13638-020-01771-9UWSNs positioning technology based on iterative optimization and data position correctionXinxin Wang0Danyang Qin1Min Zhao2Ruolin Guo3Teklu Merhawit Berhane4Heilongjiang UniversityHeilongjiang UniversityHeilongjiang UniversityHeilongjiang UniversityDire-Dawa Institute of TechnologyAbstract Underwater wireless sensor networks (UWSNs) have played an increasingly important role in the fields of ocean exploration, underwater environment monitoring, underwater navigation target tracking, terrain-assisted navigation, and so on. However, UWSNs are a dynamic network, which are unlike terrestrial wireless sensor networks, and the complexity of underwater environment poses many challenges for the positioning of sensor nodes. Aiming at the difficulty of location update, this paper proposes a UWSN positioning technology based on iterative optimization and data position correction (IO-DPC). Firstly, particle swarm optimization technology is used to perform the rough positioning stage of sensor nodes, and iterative optimization is performed for many times. Then, data position correction work is carried out, and a scheme is designed for correcting underwater sensor data position when base station receives the data packet. An underwater ocean current model is established, and IO-DPC technology is simulated in various underwater simulation environments. Experimental results show that IO-DPC technology has higher positioning accuracy than other traditional technologies.http://link.springer.com/article/10.1186/s13638-020-01771-9UWSNsPositioningIterative optimizationData position correction |
| spellingShingle | Xinxin Wang Danyang Qin Min Zhao Ruolin Guo Teklu Merhawit Berhane UWSNs positioning technology based on iterative optimization and data position correction EURASIP Journal on Wireless Communications and Networking UWSNs Positioning Iterative optimization Data position correction |
| title | UWSNs positioning technology based on iterative optimization and data position correction |
| title_full | UWSNs positioning technology based on iterative optimization and data position correction |
| title_fullStr | UWSNs positioning technology based on iterative optimization and data position correction |
| title_full_unstemmed | UWSNs positioning technology based on iterative optimization and data position correction |
| title_short | UWSNs positioning technology based on iterative optimization and data position correction |
| title_sort | uwsns positioning technology based on iterative optimization and data position correction |
| topic | UWSNs Positioning Iterative optimization Data position correction |
| url | http://link.springer.com/article/10.1186/s13638-020-01771-9 |
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