Beampattern optimization techniques using metaheuristic algorithm for collaborative beamforming: A review
The fast improvements in wireless technology and embedded systems have sparked a renewed interest in collaborative beamforming (CB) approach used in wireless sensor networks (WSNs). Despite the fact that studies on distributed and CB have been conducted for more than 10 years, CB was previously deem...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science
2023
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| Online Access: | http://eprints.utm.my/105689/1/NikNoordini2023_BeampatternOptimizationTechniquesUsingMetaheuristicAlgorithm.pdf |
| _version_ | 1811132183808573440 |
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| author | Ab. Majid, Najla Ilyana Nik Abd. Malik, Nik Noordini Zakaria, Nor Aini |
| author_facet | Ab. Majid, Najla Ilyana Nik Abd. Malik, Nik Noordini Zakaria, Nor Aini |
| author_sort | Ab. Majid, Najla Ilyana |
| collection | ePrints |
| description | The fast improvements in wireless technology and embedded systems have sparked a renewed interest in collaborative beamforming (CB) approach used in wireless sensor networks (WSNs). Despite the fact that studies on distributed and CB have been conducted for more than 10 years, CB was previously deemed unworkable because of its extreme complexity and difficult-to-attain criteria. It just got well-known in the last several years when cheaply accessible compact wireless communication electronic sensors with high processing capability emerged. These factors contributed as the motivation for this paper's research overview CB in WSNs. We provide the classifications of the static and mobile WSN which is based on the sensor node optimization technique. This paper reviews the metaheuristic algorithms proposed by previous study for beampattern and energy consumption optimization. Finally, this paper also presents a summary analysis of the previous studies in terms of beampattern characteristic and properties, energy consumption and stability. |
| first_indexed | 2024-09-23T23:59:19Z |
| format | Article |
| id | utm.eprints-105689 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-09-23T23:59:19Z |
| publishDate | 2023 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | utm.eprints-1056892024-05-15T06:43:48Z http://eprints.utm.my/105689/ Beampattern optimization techniques using metaheuristic algorithm for collaborative beamforming: A review Ab. Majid, Najla Ilyana Nik Abd. Malik, Nik Noordini Zakaria, Nor Aini TK Electrical engineering. Electronics Nuclear engineering The fast improvements in wireless technology and embedded systems have sparked a renewed interest in collaborative beamforming (CB) approach used in wireless sensor networks (WSNs). Despite the fact that studies on distributed and CB have been conducted for more than 10 years, CB was previously deemed unworkable because of its extreme complexity and difficult-to-attain criteria. It just got well-known in the last several years when cheaply accessible compact wireless communication electronic sensors with high processing capability emerged. These factors contributed as the motivation for this paper's research overview CB in WSNs. We provide the classifications of the static and mobile WSN which is based on the sensor node optimization technique. This paper reviews the metaheuristic algorithms proposed by previous study for beampattern and energy consumption optimization. Finally, this paper also presents a summary analysis of the previous studies in terms of beampattern characteristic and properties, energy consumption and stability. Institute of Advanced Engineering and Science 2023 Article PeerReviewed application/pdf en http://eprints.utm.my/105689/1/NikNoordini2023_BeampatternOptimizationTechniquesUsingMetaheuristicAlgorithm.pdf Ab. Majid, Najla Ilyana and Nik Abd. Malik, Nik Noordini and Zakaria, Nor Aini (2023) Beampattern optimization techniques using metaheuristic algorithm for collaborative beamforming: A review. Bulletin of Electrical Engineering and Informatics, 12 (4). pp. 2185-2192. ISSN 2089-3191 http://dx.doi.org/10.11591/eei.v12i4.4835 DOI : 10.11591/eei.v12i4.4835 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ab. Majid, Najla Ilyana Nik Abd. Malik, Nik Noordini Zakaria, Nor Aini Beampattern optimization techniques using metaheuristic algorithm for collaborative beamforming: A review |
| title | Beampattern optimization techniques using metaheuristic algorithm for collaborative beamforming: A review |
| title_full | Beampattern optimization techniques using metaheuristic algorithm for collaborative beamforming: A review |
| title_fullStr | Beampattern optimization techniques using metaheuristic algorithm for collaborative beamforming: A review |
| title_full_unstemmed | Beampattern optimization techniques using metaheuristic algorithm for collaborative beamforming: A review |
| title_short | Beampattern optimization techniques using metaheuristic algorithm for collaborative beamforming: A review |
| title_sort | beampattern optimization techniques using metaheuristic algorithm for collaborative beamforming a review |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/105689/1/NikNoordini2023_BeampatternOptimizationTechniquesUsingMetaheuristicAlgorithm.pdf |
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