Dingo optimization influenced arithmetic optimization – Clustering and localization algorithm for underwater acoustic sensor networks
Underwater acoustic sensor networks (UASNs) are quickly being used in environmental monitoring, marine life observation, and underwater resource research. This paper introduces the Dingo Optimisation Influenced-Arithmetic Clustering and Localisation Algorithm. The proposed method was developed due t...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016823010025 |
| _version_ | 1827585013590261760 |
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| author | Sathish Kaveripakam Ravikumar Chinthaginjala Chandrababu Naik Giovanni Pau Mohd Nadhir Ab Wahab Muhammad Firdaus Akbar C. Dhanamjayulu |
| author_facet | Sathish Kaveripakam Ravikumar Chinthaginjala Chandrababu Naik Giovanni Pau Mohd Nadhir Ab Wahab Muhammad Firdaus Akbar C. Dhanamjayulu |
| author_sort | Sathish Kaveripakam |
| collection | DOAJ |
| description | Underwater acoustic sensor networks (UASNs) are quickly being used in environmental monitoring, marine life observation, and underwater resource research. This paper introduces the Dingo Optimisation Influenced-Arithmetic Clustering and Localisation Algorithm. The proposed method was developed due to the above considerations. DOIAO-CLA combines Dingo Optimisation (DO) and Arithmetic Optimisation (AO), two powerful optimisation methods. DOIAO-CLA uses DO's robust exploration and exploitation features to group sensor nodes with similar propagation characteristics. It also optimises cluster formation and reduces distance discrepancies using AO. DOIAO-CLA also enables reliable localization by merging distance- and angle-based methods. DO optimises node localization by using distance and angle of arrival data. This integration enhances UASN node localization accuracy and reliability. The DOIAO-CLA was tested against other clustering and localization algorithms like Archimedes Optimisation Algorithm (AOA), Squirrel Search Algorithm (SSA), Hybrid Cat Cheetah Optimisation Algorithm (HCCOA), Ant Colony Optimisation Algorithm (ACOA), Grey Wolf Optimisation Algorithm (GWOA), and Particle Swarm Optimisation Algorithm. According to the results, DOIAO-CLA taps alternatives for network robustness, data aggregation, and localization precision. Finally, DOIAO-CLA solves the UASN clustering and localization problem in a novel and effective way. |
| first_indexed | 2024-03-08T23:39:31Z |
| format | Article |
| id | doaj.art-41b16af1d3a8440297918c0f69ed09b2 |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-03-08T23:39:31Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-41b16af1d3a8440297918c0f69ed09b22023-12-14T05:20:41ZengElsevierAlexandria Engineering Journal1110-01682023-12-01856071Dingo optimization influenced arithmetic optimization – Clustering and localization algorithm for underwater acoustic sensor networksSathish Kaveripakam0Ravikumar Chinthaginjala1Chandrababu Naik2Giovanni Pau3Mohd Nadhir Ab Wahab4Muhammad Firdaus Akbar5C. Dhanamjayulu6School of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, IndiaSchool of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, India; Corresponding authors.Dept.of ECE, National Institute of Technology, Tiruchirapalli, Tamilnadu 620115, IndiaKore University of Enna, Faculty of Engineering and Architecture, 94100 Enna, ItalySchool of Computer Sciences, Universiti Sains Malaysia, 11900 Penang, Malaysia; Corresponding authors.School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Penang, MalaysiaSchool of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, IndiaUnderwater acoustic sensor networks (UASNs) are quickly being used in environmental monitoring, marine life observation, and underwater resource research. This paper introduces the Dingo Optimisation Influenced-Arithmetic Clustering and Localisation Algorithm. The proposed method was developed due to the above considerations. DOIAO-CLA combines Dingo Optimisation (DO) and Arithmetic Optimisation (AO), two powerful optimisation methods. DOIAO-CLA uses DO's robust exploration and exploitation features to group sensor nodes with similar propagation characteristics. It also optimises cluster formation and reduces distance discrepancies using AO. DOIAO-CLA also enables reliable localization by merging distance- and angle-based methods. DO optimises node localization by using distance and angle of arrival data. This integration enhances UASN node localization accuracy and reliability. The DOIAO-CLA was tested against other clustering and localization algorithms like Archimedes Optimisation Algorithm (AOA), Squirrel Search Algorithm (SSA), Hybrid Cat Cheetah Optimisation Algorithm (HCCOA), Ant Colony Optimisation Algorithm (ACOA), Grey Wolf Optimisation Algorithm (GWOA), and Particle Swarm Optimisation Algorithm. According to the results, DOIAO-CLA taps alternatives for network robustness, data aggregation, and localization precision. Finally, DOIAO-CLA solves the UASN clustering and localization problem in a novel and effective way.http://www.sciencedirect.com/science/article/pii/S1110016823010025UASNsRSSTDoAOptimizationCluster head selectionResidual Energy |
| spellingShingle | Sathish Kaveripakam Ravikumar Chinthaginjala Chandrababu Naik Giovanni Pau Mohd Nadhir Ab Wahab Muhammad Firdaus Akbar C. Dhanamjayulu Dingo optimization influenced arithmetic optimization – Clustering and localization algorithm for underwater acoustic sensor networks Alexandria Engineering Journal UASNs RSS TDoA Optimization Cluster head selection Residual Energy |
| title | Dingo optimization influenced arithmetic optimization – Clustering and localization algorithm for underwater acoustic sensor networks |
| title_full | Dingo optimization influenced arithmetic optimization – Clustering and localization algorithm for underwater acoustic sensor networks |
| title_fullStr | Dingo optimization influenced arithmetic optimization – Clustering and localization algorithm for underwater acoustic sensor networks |
| title_full_unstemmed | Dingo optimization influenced arithmetic optimization – Clustering and localization algorithm for underwater acoustic sensor networks |
| title_short | Dingo optimization influenced arithmetic optimization – Clustering and localization algorithm for underwater acoustic sensor networks |
| title_sort | dingo optimization influenced arithmetic optimization clustering and localization algorithm for underwater acoustic sensor networks |
| topic | UASNs RSS TDoA Optimization Cluster head selection Residual Energy |
| url | http://www.sciencedirect.com/science/article/pii/S1110016823010025 |
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