A Hybrid Metaheuristic Algorithm for Stop Point Selection in Wireless Rechargeable Sensor Network
A wireless rechargeable sensor network (WRSN) enables charging of rechargeable sensor nodes (RSN) wirelessly through a mobile charging vehicle (MCV). Most existing works choose the MCV’s stop point (SP) at random, the cluster’s center, or the cluster head position, all without exploring the demand...
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| Format: | Article |
| Language: | English |
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Taiwan Association of Engineering and Technology Innovation
2023-08-01
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| Series: | International Journal of Engineering and Technology Innovation |
| Subjects: | |
| Online Access: | https://ojs.imeti.org/index.php/IJETI/article/view/11552 |
| _version_ | 1797755546637434880 |
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| author | Siron Anita Susan T Nithya Balasubramanian |
| author_facet | Siron Anita Susan T Nithya Balasubramanian |
| author_sort | Siron Anita Susan T |
| collection | DOAJ |
| description |
A wireless rechargeable sensor network (WRSN) enables charging of rechargeable sensor nodes (RSN) wirelessly through a mobile charging vehicle (MCV). Most existing works choose the MCV’s stop point (SP) at random, the cluster’s center, or the cluster head position, all without exploring the demand from RSNs. It results in a long charging delay, a low charging throughput, frequent MCV trips, and more dead nodes. To overcome these issues, this paper proposes a hybrid metaheuristic algorithm for stop point selection (HMA-SPS) that combines the techniques of the dragonfly algorithm (DA), firefly algorithm (FA), and gray wolf optimization (GWO) algorithms. Using FA and GWO techniques, DA predicts an ideal SP using the run-time metrics of RSNs, such as energy, delay, distance, and trust factors. The simulated results demonstrate faster convergence with low delay and highlight that more RSNs can be recharged with fewer MCV visits, further enhancing energy utilization, throughput, network lifetime, and trust factor.
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| first_indexed | 2024-03-12T17:47:52Z |
| format | Article |
| id | doaj.art-bf885fd1635043ffbaba68fe35c3af0a |
| institution | Directory Open Access Journal |
| issn | 2223-5329 2226-809X |
| language | English |
| last_indexed | 2024-03-12T17:47:52Z |
| publishDate | 2023-08-01 |
| publisher | Taiwan Association of Engineering and Technology Innovation |
| record_format | Article |
| series | International Journal of Engineering and Technology Innovation |
| spelling | doaj.art-bf885fd1635043ffbaba68fe35c3af0a2023-08-03T11:32:32ZengTaiwan Association of Engineering and Technology InnovationInternational Journal of Engineering and Technology Innovation2223-53292226-809X2023-08-0110.46604/ijeti.2023.11552A Hybrid Metaheuristic Algorithm for Stop Point Selection in Wireless Rechargeable Sensor NetworkSiron Anita Susan T0Nithya Balasubramanian1Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, IndiaDepartment of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, India A wireless rechargeable sensor network (WRSN) enables charging of rechargeable sensor nodes (RSN) wirelessly through a mobile charging vehicle (MCV). Most existing works choose the MCV’s stop point (SP) at random, the cluster’s center, or the cluster head position, all without exploring the demand from RSNs. It results in a long charging delay, a low charging throughput, frequent MCV trips, and more dead nodes. To overcome these issues, this paper proposes a hybrid metaheuristic algorithm for stop point selection (HMA-SPS) that combines the techniques of the dragonfly algorithm (DA), firefly algorithm (FA), and gray wolf optimization (GWO) algorithms. Using FA and GWO techniques, DA predicts an ideal SP using the run-time metrics of RSNs, such as energy, delay, distance, and trust factors. The simulated results demonstrate faster convergence with low delay and highlight that more RSNs can be recharged with fewer MCV visits, further enhancing energy utilization, throughput, network lifetime, and trust factor. https://ojs.imeti.org/index.php/IJETI/article/view/11552wireless rechargeable sensor network (WRSN)mobile charging vehicle (MCV)stop point (SP)optimizationhybrid algorithm |
| spellingShingle | Siron Anita Susan T Nithya Balasubramanian A Hybrid Metaheuristic Algorithm for Stop Point Selection in Wireless Rechargeable Sensor Network International Journal of Engineering and Technology Innovation wireless rechargeable sensor network (WRSN) mobile charging vehicle (MCV) stop point (SP) optimization hybrid algorithm |
| title | A Hybrid Metaheuristic Algorithm for Stop Point Selection in Wireless Rechargeable Sensor Network |
| title_full | A Hybrid Metaheuristic Algorithm for Stop Point Selection in Wireless Rechargeable Sensor Network |
| title_fullStr | A Hybrid Metaheuristic Algorithm for Stop Point Selection in Wireless Rechargeable Sensor Network |
| title_full_unstemmed | A Hybrid Metaheuristic Algorithm for Stop Point Selection in Wireless Rechargeable Sensor Network |
| title_short | A Hybrid Metaheuristic Algorithm for Stop Point Selection in Wireless Rechargeable Sensor Network |
| title_sort | hybrid metaheuristic algorithm for stop point selection in wireless rechargeable sensor network |
| topic | wireless rechargeable sensor network (WRSN) mobile charging vehicle (MCV) stop point (SP) optimization hybrid algorithm |
| url | https://ojs.imeti.org/index.php/IJETI/article/view/11552 |
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