Optimization Algorithms for Wireless Sensor Networks Node Localization: An Overview
Wireless Sensor Networks (WSNs) play a critical role in numerous applications, and accurate localization of sensor nodes is vital for their effective operation. In recent years, optimization algorithms have garnered significant attention as a means of enhancing the WSN node localization. This paper...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10493030/ |
| _version_ | 1827281465603260416 |
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| author | Rami Ahmad Waseem Alhasan Raniyah Wazirali Noura Aleisa |
| author_facet | Rami Ahmad Waseem Alhasan Raniyah Wazirali Noura Aleisa |
| author_sort | Rami Ahmad |
| collection | DOAJ |
| description | Wireless Sensor Networks (WSNs) play a critical role in numerous applications, and accurate localization of sensor nodes is vital for their effective operation. In recent years, optimization algorithms have garnered significant attention as a means of enhancing the WSN node localization. This paper presents an in-depth exploration of the necessity of localization in WSN nodes, and offers a comprehensive review of the optimization algorithms used for this purpose. This review encompasses a diverse range of optimization techniques, including evolutionary algorithms, swarm intelligence, and metaheuristic approaches. Key factors such as localization accuracy, scalability, computational complexity, and robustness were systematically evaluated and compared across various optimization algorithms. Additionally, the study sheds light on the strengths and limitations of each optimization approach and discusses their applicability in different WSN deployment scenarios. The insights provided in this review serve as valuable resources for researchers and practitioners seeking to optimize WSN node localization, thus promoting the efficient and reliable operation of WSNs in diverse real-world applications. |
| first_indexed | 2024-04-24T09:01:44Z |
| format | Article |
| id | doaj.art-5529365f1d2e4863910676cdafefba8b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T09:01:44Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5529365f1d2e4863910676cdafefba8b2024-04-15T23:00:39ZengIEEEIEEE Access2169-35362024-01-0112504595048810.1109/ACCESS.2024.338548710493030Optimization Algorithms for Wireless Sensor Networks Node Localization: An OverviewRami Ahmad0https://orcid.org/0000-0003-3913-6397Waseem Alhasan1https://orcid.org/0000-0003-2952-4767Raniyah Wazirali2https://orcid.org/0000-0002-3609-9351Noura Aleisa3https://orcid.org/0000-0002-0310-8899College of Computer Information Technology, American University in the Emirates, Dubai, United Arab EmiratesBerlin School of Business and Innovation GmbH, Berlin, GermanyCollege of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi ArabiaCollege of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi ArabiaWireless Sensor Networks (WSNs) play a critical role in numerous applications, and accurate localization of sensor nodes is vital for their effective operation. In recent years, optimization algorithms have garnered significant attention as a means of enhancing the WSN node localization. This paper presents an in-depth exploration of the necessity of localization in WSN nodes, and offers a comprehensive review of the optimization algorithms used for this purpose. This review encompasses a diverse range of optimization techniques, including evolutionary algorithms, swarm intelligence, and metaheuristic approaches. Key factors such as localization accuracy, scalability, computational complexity, and robustness were systematically evaluated and compared across various optimization algorithms. Additionally, the study sheds light on the strengths and limitations of each optimization approach and discusses their applicability in different WSN deployment scenarios. The insights provided in this review serve as valuable resources for researchers and practitioners seeking to optimize WSN node localization, thus promoting the efficient and reliable operation of WSNs in diverse real-world applications.https://ieeexplore.ieee.org/document/10493030/Wireless sensor networksWSNs-6LoWPANlocalizationoptimization algorithms2D3D |
| spellingShingle | Rami Ahmad Waseem Alhasan Raniyah Wazirali Noura Aleisa Optimization Algorithms for Wireless Sensor Networks Node Localization: An Overview IEEE Access Wireless sensor networks WSNs-6LoWPAN localization optimization algorithms 2D 3D |
| title | Optimization Algorithms for Wireless Sensor Networks Node Localization: An Overview |
| title_full | Optimization Algorithms for Wireless Sensor Networks Node Localization: An Overview |
| title_fullStr | Optimization Algorithms for Wireless Sensor Networks Node Localization: An Overview |
| title_full_unstemmed | Optimization Algorithms for Wireless Sensor Networks Node Localization: An Overview |
| title_short | Optimization Algorithms for Wireless Sensor Networks Node Localization: An Overview |
| title_sort | optimization algorithms for wireless sensor networks node localization an overview |
| topic | Wireless sensor networks WSNs-6LoWPAN localization optimization algorithms 2D 3D |
| url | https://ieeexplore.ieee.org/document/10493030/ |
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