Improved GbLN-PSO Algorithm for indoor localization in wireless sensor network
Localization is one of the important matters for Wireless Sensor Networks (WSN) because various applications are depending on exact sensor nodes position. The problem in localization is the gained low accuracy in estimation process. Thus, this research is intended to increase the accuracy by overcom...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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JCM
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/31628/1/20210525015209231.pdf |
| _version_ | 1825813894659047424 |
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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 important matters for Wireless Sensor Networks (WSN) because various applications are depending on exact sensor nodes position. The problem in localization is the gained low accuracy in estimation process. Thus, this research is intended to increase the accuracy by overcome the problem in the Global best Local Neighborhood Particle Swarm Optimization (GbLN-PSO) to gain high accuracy. To compass this problem, an Improved Global best Local Neighborhood Particle Swarm Optimization (IGbLN-PSO) algorithm has been proposed. In IGbLN-PSO algorithm, there are consists of two phases: Exploration phase and Exploitation phase. The neighbor particles population that scattered around the main particles, help in the searching process to estimate the node location more accurately and gained lesser computational time. Simulation results demonstrated that the proposed algorithm have competence result compared to PSO, GbLN-PSO and TLBO algorithms in terms of localization accuracy at 0.02%, 0.01% and 59.16%. Computational time result shows the proposed algorithm less computational time at 80.07%, 17.73% and 0.3% compared others. |
| first_indexed | 2024-03-06T12:50:47Z |
| format | Article |
| id | UMPir31628 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:50:47Z |
| publishDate | 2021 |
| publisher | JCM |
| record_format | dspace |
| spelling | UMPir316282021-07-07T09:53:15Z http://umpir.ump.edu.my/id/eprint/31628/ Improved GbLN-PSO Algorithm for indoor localization in wireless sensor network M. Shahkhir, Mozamir Rohani, Abu Bakar Wan Isni Soffiah, Wan Din Zalili, Musa QA75 Electronic computers. Computer science QA76 Computer software Localization is one of the important matters for Wireless Sensor Networks (WSN) because various applications are depending on exact sensor nodes position. The problem in localization is the gained low accuracy in estimation process. Thus, this research is intended to increase the accuracy by overcome the problem in the Global best Local Neighborhood Particle Swarm Optimization (GbLN-PSO) to gain high accuracy. To compass this problem, an Improved Global best Local Neighborhood Particle Swarm Optimization (IGbLN-PSO) algorithm has been proposed. In IGbLN-PSO algorithm, there are consists of two phases: Exploration phase and Exploitation phase. The neighbor particles population that scattered around the main particles, help in the searching process to estimate the node location more accurately and gained lesser computational time. Simulation results demonstrated that the proposed algorithm have competence result compared to PSO, GbLN-PSO and TLBO algorithms in terms of localization accuracy at 0.02%, 0.01% and 59.16%. Computational time result shows the proposed algorithm less computational time at 80.07%, 17.73% and 0.3% compared others. JCM 2021-06 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31628/1/20210525015209231.pdf M. Shahkhir, Mozamir and Rohani, Abu Bakar and Wan Isni Soffiah, Wan Din and Zalili, Musa (2021) Improved GbLN-PSO Algorithm for indoor localization in wireless sensor network. Journal of Communications, 16 (6). pp. 1-8. ISSN 1796-2021. (Published) http://www.jocm.us/show-256-1663-1.html doi:10.12720/jcm.16.6.242-249 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software M. Shahkhir, Mozamir Rohani, Abu Bakar Wan Isni Soffiah, Wan Din Zalili, Musa Improved GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title | Improved GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title_full | Improved GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title_fullStr | Improved GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title_full_unstemmed | Improved GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title_short | Improved GbLN-PSO Algorithm for indoor localization in wireless sensor network |
| title_sort | improved gbln pso algorithm for indoor localization in wireless sensor network |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/31628/1/20210525015209231.pdf |
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