Development of a Test-Bench for Evaluating the Embedded Implementation of the Improved Elephant Herding Optimization Algorithm Applied to Energy-Based Acoustic Localization
The present work addresses the development of a test-bench for the embedded implementation, validity, and testing of the recently proposed Improved Elephant Herding Optimization (<i>iEHO</i>) algorithm, applied to the acoustic localization problem. The implemented methodology aims to cor...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Computers |
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| Online Access: | https://www.mdpi.com/2073-431X/9/4/87 |
| _version_ | 1797548972550651904 |
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| author | Sérgio D. Correia João Fé Slavisa Tomic Marko Beko |
| author_facet | Sérgio D. Correia João Fé Slavisa Tomic Marko Beko |
| author_sort | Sérgio D. Correia |
| collection | DOAJ |
| description | The present work addresses the development of a test-bench for the embedded implementation, validity, and testing of the recently proposed Improved Elephant Herding Optimization (<i>iEHO</i>) algorithm, applied to the acoustic localization problem. The implemented methodology aims to corroborate the feasibility of applying <i>iEHO</i> in real-time applications on low complexity and low power devices, where three different electronic modules are used and tested. Swarm-based metaheuristic methods are usually examined by employing high-level languages on centralized computers, demonstrating their capability in finding global or good local solutions. This work considers <i>iEHO</i> implementation in C-language running on an embedded processor. Several random scenarios are generated, uploaded, and processed by the embedded processor to demonstrate the algorithm’s effectiveness and the test-bench usability, low complexity, and high reliability. On the one hand, the results obtained in our test-bench are concordant with the high-level implementations using MatLab<sup>®</sup> in terms of accuracy. On the other hand, concerning the processing time and as a breakthrough, the results obtained over the test-bench allow to demonstrate a high suitability of the embedded <i>iEHO</i> implementation for real-time applications due to its low latency. |
| first_indexed | 2024-03-10T15:07:21Z |
| format | Article |
| id | doaj.art-b5be972ccda24f89b58fa4f99dc1e146 |
| institution | Directory Open Access Journal |
| issn | 2073-431X |
| language | English |
| last_indexed | 2024-03-10T15:07:21Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj.art-b5be972ccda24f89b58fa4f99dc1e1462023-11-20T19:38:06ZengMDPI AGComputers2073-431X2020-11-01948710.3390/computers9040087Development of a Test-Bench for Evaluating the Embedded Implementation of the Improved Elephant Herding Optimization Algorithm Applied to Energy-Based Acoustic LocalizationSérgio D. Correia0João Fé1Slavisa Tomic2Marko Beko3COPELABS, Universidade Lusófona de Humanidades e Tecnologias, Campo Grande 376, 1749-024 Lisboa, PortugalCOPELABS, Universidade Lusófona de Humanidades e Tecnologias, Campo Grande 376, 1749-024 Lisboa, PortugalCOPELABS, Universidade Lusófona de Humanidades e Tecnologias, Campo Grande 376, 1749-024 Lisboa, PortugalCOPELABS, Universidade Lusófona de Humanidades e Tecnologias, Campo Grande 376, 1749-024 Lisboa, PortugalThe present work addresses the development of a test-bench for the embedded implementation, validity, and testing of the recently proposed Improved Elephant Herding Optimization (<i>iEHO</i>) algorithm, applied to the acoustic localization problem. The implemented methodology aims to corroborate the feasibility of applying <i>iEHO</i> in real-time applications on low complexity and low power devices, where three different electronic modules are used and tested. Swarm-based metaheuristic methods are usually examined by employing high-level languages on centralized computers, demonstrating their capability in finding global or good local solutions. This work considers <i>iEHO</i> implementation in C-language running on an embedded processor. Several random scenarios are generated, uploaded, and processed by the embedded processor to demonstrate the algorithm’s effectiveness and the test-bench usability, low complexity, and high reliability. On the one hand, the results obtained in our test-bench are concordant with the high-level implementations using MatLab<sup>®</sup> in terms of accuracy. On the other hand, concerning the processing time and as a breakthrough, the results obtained over the test-bench allow to demonstrate a high suitability of the embedded <i>iEHO</i> implementation for real-time applications due to its low latency.https://www.mdpi.com/2073-431X/9/4/87arduino programmingESP32 platformembedded programmingenergy-based acoustic localizationInternet of Thingssoftware/hardware testing |
| spellingShingle | Sérgio D. Correia João Fé Slavisa Tomic Marko Beko Development of a Test-Bench for Evaluating the Embedded Implementation of the Improved Elephant Herding Optimization Algorithm Applied to Energy-Based Acoustic Localization Computers arduino programming ESP32 platform embedded programming energy-based acoustic localization Internet of Things software/hardware testing |
| title | Development of a Test-Bench for Evaluating the Embedded Implementation of the Improved Elephant Herding Optimization Algorithm Applied to Energy-Based Acoustic Localization |
| title_full | Development of a Test-Bench for Evaluating the Embedded Implementation of the Improved Elephant Herding Optimization Algorithm Applied to Energy-Based Acoustic Localization |
| title_fullStr | Development of a Test-Bench for Evaluating the Embedded Implementation of the Improved Elephant Herding Optimization Algorithm Applied to Energy-Based Acoustic Localization |
| title_full_unstemmed | Development of a Test-Bench for Evaluating the Embedded Implementation of the Improved Elephant Herding Optimization Algorithm Applied to Energy-Based Acoustic Localization |
| title_short | Development of a Test-Bench for Evaluating the Embedded Implementation of the Improved Elephant Herding Optimization Algorithm Applied to Energy-Based Acoustic Localization |
| title_sort | development of a test bench for evaluating the embedded implementation of the improved elephant herding optimization algorithm applied to energy based acoustic localization |
| topic | arduino programming ESP32 platform embedded programming energy-based acoustic localization Internet of Things software/hardware testing |
| url | https://www.mdpi.com/2073-431X/9/4/87 |
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