GbLN-PSO Algorithm for indoor localization in wireless sensor network
Localization is one of the issue in Wireless Sensor Network (WSN). The problem is the estimation error in the localization of the node. In this paper, we propose an indoor localization in WSN based on Global best Local Neighbourhood Particle Swarm Optimization (GbLN-PSO) algorithm. Three anchors are...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/31629/1/Shahkhir_Mozamir_2020_IOP_Conf._Ser.%20_Mater._Sci._Eng._769_012033.pdf |
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| author | M. Shahkhir, Mozamir Rohani, Abu Bakar Wan Isni Soffiah, Wan Din Zalili, Musa |
| author_facet | M. Shahkhir, Mozamir Rohani, Abu Bakar Wan Isni Soffiah, Wan Din Zalili, Musa |
| author_sort | M. Shahkhir, Mozamir |
| collection | UMP |
| description | Localization is one of the issue in Wireless Sensor Network (WSN). The problem is the estimation error in the localization of the node. In this paper, we propose an indoor localization in WSN based on Global best Local Neighbourhood Particle Swarm Optimization (GbLN-PSO) algorithm. Three anchors are used as the distance measurement for each unknown node to be localized. A comparison of the performances of PSO and GbLN-PSO in terms of localization error (accuracy) and computation time is presenting using simulation in Matlab. The result shows that GbLN-PSO improved the accuracy approximately by 0.01% and reduced the computational time by 86.02% compared to PSO technique. |
| first_indexed | 2024-03-06T12:50:47Z |
| format | Article |
| id | UMPir31629 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:50:47Z |
| publishDate | 2020 |
| publisher | IOP Publishing |
| record_format | dspace |
| spelling | UMPir316292021-07-07T10:12:32Z http://umpir.ump.edu.my/id/eprint/31629/ GbLN-PSO Algorithm for indoor localization in wireless sensor network M. Shahkhir, Mozamir Rohani, Abu Bakar Wan Isni Soffiah, Wan Din Zalili, Musa QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software Localization is one of the issue in Wireless Sensor Network (WSN). The problem is the estimation error in the localization of the node. In this paper, we propose an indoor localization in WSN based on Global best Local Neighbourhood Particle Swarm Optimization (GbLN-PSO) algorithm. Three anchors are used as the distance measurement for each unknown node to be localized. A comparison of the performances of PSO and GbLN-PSO in terms of localization error (accuracy) and computation time is presenting using simulation in Matlab. The result shows that GbLN-PSO improved the accuracy approximately by 0.01% and reduced the computational time by 86.02% compared to PSO technique. IOP Publishing 2020 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31629/1/Shahkhir_Mozamir_2020_IOP_Conf._Ser.%20_Mater._Sci._Eng._769_012033.pdf M. Shahkhir, Mozamir and Rohani, Abu Bakar and Wan Isni Soffiah, Wan Din and Zalili, Musa (2020) GbLN-PSO Algorithm for indoor localization in wireless sensor network. Materials Science and Engineering, 769 (012033). pp. 1-9. ISSN 1757-899X. (Published) https://iopscience.iop.org/journal/1757-899X doi:10.1088/1757-899X/769/1/012033 |
| spellingShingle | QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software M. Shahkhir, Mozamir Rohani, Abu Bakar Wan Isni Soffiah, Wan Din Zalili, Musa GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title | GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title_full | GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title_fullStr | GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title_full_unstemmed | GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title_short | GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title_sort | gbln pso algorithm for indoor localization in wireless sensor network |
| topic | QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/31629/1/Shahkhir_Mozamir_2020_IOP_Conf._Ser.%20_Mater._Sci._Eng._769_012033.pdf |
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