Maximizando la Vida Útil de Nodos en Redes de Sensores Inalámbricas: Una aplicación innovadora del problema de Optimización P-Median al Protocolo LEACH-C
En esta investigación, se explora un enfoque innovador para la optimización de clústeres en el protocolo LEACH-C a través de la aplicación del modelo P-Median en Redes de Sensores Inalámbricos (WSN). Utilizando un número fijo de sensores, el método se centra en mejorar la eficiencia energética, cruc...
- Autores:
-
Sandoval Navarrete, Cesar
Adasme, Pablo
Dehghan Firoozabadi , Ali
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2024
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/13756
- Acceso en línea:
- https://doi.org/10.17981/ingecuc.20.1.2024.09
- Palabra clave:
- Clusters
Energy efficiency
LEACH-C protocol
P-Median
Wireless Sensor Networks
WSN
Clústeres
Eficiencia Energética
Protocolo LEACH-C
P-Mediana
Redes de Sensores Inalámbricos.
- Rights
- openAccess
- License
- Inge Cuc - 2024
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Maximizando la Vida Útil de Nodos en Redes de Sensores Inalámbricas: Una aplicación innovadora del problema de Optimización P-Median al Protocolo LEACH-C |
| dc.title.translated.eng.fl_str_mv |
Sr. Maximizing Nodes’ Service Lives In Wireless Sensor Networks: An Innovative Application Of The P-Median Optimization Problem To The Leach-C Protocol |
| title |
Maximizando la Vida Útil de Nodos en Redes de Sensores Inalámbricas: Una aplicación innovadora del problema de Optimización P-Median al Protocolo LEACH-C |
| spellingShingle |
Maximizando la Vida Útil de Nodos en Redes de Sensores Inalámbricas: Una aplicación innovadora del problema de Optimización P-Median al Protocolo LEACH-C Clusters Energy efficiency LEACH-C protocol P-Median Wireless Sensor Networks WSN Clústeres Eficiencia Energética Protocolo LEACH-C P-Mediana Redes de Sensores Inalámbricos. |
| title_short |
Maximizando la Vida Útil de Nodos en Redes de Sensores Inalámbricas: Una aplicación innovadora del problema de Optimización P-Median al Protocolo LEACH-C |
| title_full |
Maximizando la Vida Útil de Nodos en Redes de Sensores Inalámbricas: Una aplicación innovadora del problema de Optimización P-Median al Protocolo LEACH-C |
| title_fullStr |
Maximizando la Vida Útil de Nodos en Redes de Sensores Inalámbricas: Una aplicación innovadora del problema de Optimización P-Median al Protocolo LEACH-C |
| title_full_unstemmed |
Maximizando la Vida Útil de Nodos en Redes de Sensores Inalámbricas: Una aplicación innovadora del problema de Optimización P-Median al Protocolo LEACH-C |
| title_sort |
Maximizando la Vida Útil de Nodos en Redes de Sensores Inalámbricas: Una aplicación innovadora del problema de Optimización P-Median al Protocolo LEACH-C |
| dc.creator.fl_str_mv |
Sandoval Navarrete, Cesar Adasme, Pablo Dehghan Firoozabadi , Ali |
| dc.contributor.author.spa.fl_str_mv |
Sandoval Navarrete, Cesar Adasme, Pablo Dehghan Firoozabadi , Ali |
| dc.subject.eng.fl_str_mv |
Clusters Energy efficiency LEACH-C protocol P-Median Wireless Sensor Networks WSN |
| topic |
Clusters Energy efficiency LEACH-C protocol P-Median Wireless Sensor Networks WSN Clústeres Eficiencia Energética Protocolo LEACH-C P-Mediana Redes de Sensores Inalámbricos. |
| dc.subject.spa.fl_str_mv |
Clústeres Eficiencia Energética Protocolo LEACH-C P-Mediana Redes de Sensores Inalámbricos. |
| description |
En esta investigación, se explora un enfoque innovador para la optimización de clústeres en el protocolo LEACH-C a través de la aplicación del modelo P-Median en Redes de Sensores Inalámbricos (WSN). Utilizando un número fijo de sensores, el método se centra en mejorar la eficiencia energética, crucial para la sostenibilidad y reducción de costos en WSN. La implementación del modelo P-Median demostró ser eficaz en retrasar la muerte del primer nodo y reducir el número de clústeres y paquetes enviados a las cabezas de clúster (CH), al tiempo que aumentó los paquetes enviados al sumidero y la energía promedio de la red. Estos avances significan una mejora considerable en la eficiencia energética, contribuyendo a la sostenibilidad a largo plazo y disminuyendo los costes operativos y de mantenimiento. Más allá de las mejoras energéticas, este estudio tiene el potencial de revolucionar la gestión de recursos e infraestructuras, especialmente en áreas remotas, al ofrecer una metodología adaptable a diferentes configuraciones de WSN. Los resultados abren un camino prometedor hacia la optimización en el campo de las WSN, destacando la utilidad del modelo P-Median para mejorar tanto el rendimiento como la eficiencia energética en estas redes, lo que representa un avance significativo con aplicaciones potenciales amplias para futuras investigaciones y desarrollos tecnológicos. |
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2024 |
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2024-05-22 13:20:08 |
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2024-05-22 13:20:08 |
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2024-05-22 |
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Artículo de revista |
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D. Kandris, E. A. Evangelakos, D. Rountos, G. Tselikis, and E. Anas- tasiadis, “LEACH-based hierarchical energy efficient routing in wireless sensor networks,” AEU - International Journal of Electronics and Communications, vol. 169, p. 154758, 9 2023. [2] W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor net- works,” IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660–670, 2002. [3] F. Ye, X. Zhou, Z. Ren, and S. Yang, “Energy Allocation for Stochastic Event Detection in Rechargeable Sensor Networks,” Information Tech- nology and Control, vol. 51, no. 2, pp. 283–293, 6 2022. [4] Q. Zhang and Y. Liu, “An energy cooperation method of wireless sensor networks based on partially observable Markov decision processes,” Sustainable Energy Technologies and Assessments, vol. 55, 2 2023. [5] D. M. Satyavathi and A. C. Sudhir, “OQ-IICA: Optimal QoS-aware intra-inter cluster data aggregation technique for IoT-assisted WSNs using hybrid optimization techniques,” Concurrency and Computation: Practice and Experience, 2023. [6] D. K. J. Bahadur and L. Lakshmanan, “A novel method for optimizing energy consumption in wireless sensor network using genetic algorithm,” Microprocessors and Microsystems, vol. 96, 2 2023. [7] D. Hemanand, C. Senthilkumar, O. S. Saleh, B. Muthuraj, A. Anand, and V. Velmurugan, “Analysis of power optimization and enhanced routing protocols for wireless sensor networks,” Measurement: Sensors, vol. 25, 2 2023. [8] A. Srivastava and P. K. Mishra, “Load-Balanced Cluster Head Selection Enhancing Network Lifetime in WSN Using Hybrid Approach for IoT Applications,” Journal of Sensors, vol. 2023, 2023. [9] H. A. Younus and C. Koçak, “Optimized Routing by Combining Grey Wolf and Dragonfly Optimization for Energy Efficiency in Wireless Sensor Networks,” Applied Sciences (Switzerland), vol. 12, no. 21, 11 2022. [10] F. K. A.B, “ECO-LEACH: A Blockchain-Based Distributed Routing Protocol for Energy-Efficient Wireless Sensor Networks,” Information Dynamics and Applications, vol. 2, no. 1, pp. 1–7, 3 2023. [11] C. P. Verma, “Enhancing Parameters of LEACH Protocol for Efficient Routing in Wireless Sensor Networks,” Journal of Computers, Mechan- ical and Management, vol. 2, no. 1, pp. 26–31, 2 2023. [12] M. Preetha, N. A. Kumar, K. Elavarasi, T. Vignesh, and V. Nagaraju, “A Hybrid Clustering Approach Based Q-Leach in TDMA to Optimize QOS-Parameters,” Wireless Personal Communications, vol. 123, no. 2, pp. 1169–1200, 3 2022. [13] S. Sennan, Kirubasri, Y. Alotaibi, D. Pandey, and S. Alghamdi, “EACR- LEACH: Energy-Aware Cluster-based Routing Protocol for WSN Based IoT,” Computers, Materials and Continua, vol. 72, no. 2, pp. 2159–2174, 2022. [14] I. Daanoune and A. Baghdad, “IBRE-LEACH: Improving the Perfor- mance of the BRE-LEACH for Wireless Sensor Networks,” Wireless Personal Communications, vol. 126, no. 4, pp. 3495–3513, 10 2022. [15] V. Rajpoot, L. Garg, M. Z. Alam, Sangeeta, V. Parashar, P. Tapashetti, and T. Arjariya, “Analysis of machine learning based LEACH robust routing in the Edge Computing systems,” Computers and Electrical Engineering, vol. 96, 12 2021. [16] A. K. Dwivedi and A. K. Sharma, “EE-LEACH: Energy Enhancement in LEACH using Fuzzy Logic for Homogeneous WSN,” Wireless Personal Communications, vol. 120, no. 4, pp. 3035–3055, 10 2021. [17] H. Chaudhary and V. Kumar, “Performance Analysis of LEACH-C and EAMMH protocols in WSN in MATLAB,” in Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021. Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1367–1370. [18] I. Daanoune, A. Baghdad, and A. Ballouk, “Improved LEACH protocol for increasing the lifetime of WSNs,” International Journal of Electrical and Computer Engineering, vol. 11, no. 4, pp. 3106–3113, 8 2021. [19] R. Sinde, F. Begum, K. Njau, and S. Kaijage, “Lifetime improved WSN using enhanced-LEACH and angle sector-based energy-aware TDMA scheduling,” Cogent Engineering, vol. 7, no. 1, 1 2020. [20] “Genetic algorithm based optimized leach protocol for energy efficient wireless sensor networks,” Journal of Ambient Intelligence and Human- ized Computing, vol. 11, no. 3, pp. 1281–1288, 3 2020. [21] R. Gantassi, B. B. Gouissem, and J. B. Othmen, “Routing protocol LEACH-K using K-means algorithm in wireless sensor network,” Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 34th International Conference on Advanced Informa- tion Networking and Applications (WAINA-2020), pp. 299–309, 2020. [22] P. Gou, F. Li, Z. Li, and X. Jia, “Improved LEACH protocol based on efficient clustering in wireless sensor networks,” Journal of Computa- tional Methods in Sciences and Engineering, vol. 19, no. 3, pp. 827–838, 2019. [23] X. Cai, Y. Sun, Z. Cui, W. Zhang, and J. Chen, “Optimal leach protocol with improved bat algorithm in wireless sensor networks,” KSII Transactions on Internet and Information Systems, vol. 13, no. 5, pp. 2469–2490, 5 2019. [24] H. Liang, S. Yang, L. Li, and J. Gao, “Research on routing optimization of WSNs based on improved LEACH protocol,” Eurasip Journal on Wireless Communications and Networking, vol. 2019, no. 1, 12 2019. [25] P. Ullas and K. S. Shivaprakasha, “Smart clustering leach (Sc-leach) pro- tocol for improved network survivability in wireless sensor networks,” International Journal of Recent Technology and Engineering, vol. 8, no. 2, pp. 6106–6110, 7 2019. [26] C. S. ReVelle, H. A. Eiselt, and M. S. Daskin, “A bibliography for some fundamental problem categories in discrete location science,” European Journal of Operational Research, vol. 184, no. 3, pp. 817–848, 2008. [Online]. Available: https://doi.org/10.1016/j.ejor.2006.12.044 [27] C. Boonmee, M. Arimura, and T. Asada, “Facility location optimization model for emergency humanitarian logistics,” International Journal of Disaster Risk Reduction, vol. 24, pp. 485–498, 9 2017. [28] A. Zattas, “LEACH,” 2023, MATLAB Central File Exchange. [Online]. Available: https://www.mathworks.com/matlabcentral/fileexchange/66 574-leach [29] R. C. Team, “R: A Language and Environment for Statistical Comput- ing,” Vienna, Austria, 2021. |
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Sandoval Navarrete, CesarAdasme, PabloDehghan Firoozabadi , Ali2024-05-22 13:20:082024-05-22 13:20:082024-05-220122-6517https://doi.org/10.17981/ingecuc.20.1.2024.0910.17981/ingecuc.20.1.2024.092382-4700En esta investigación, se explora un enfoque innovador para la optimización de clústeres en el protocolo LEACH-C a través de la aplicación del modelo P-Median en Redes de Sensores Inalámbricos (WSN). Utilizando un número fijo de sensores, el método se centra en mejorar la eficiencia energética, crucial para la sostenibilidad y reducción de costos en WSN. La implementación del modelo P-Median demostró ser eficaz en retrasar la muerte del primer nodo y reducir el número de clústeres y paquetes enviados a las cabezas de clúster (CH), al tiempo que aumentó los paquetes enviados al sumidero y la energía promedio de la red. Estos avances significan una mejora considerable en la eficiencia energética, contribuyendo a la sostenibilidad a largo plazo y disminuyendo los costes operativos y de mantenimiento. Más allá de las mejoras energéticas, este estudio tiene el potencial de revolucionar la gestión de recursos e infraestructuras, especialmente en áreas remotas, al ofrecer una metodología adaptable a diferentes configuraciones de WSN. Los resultados abren un camino prometedor hacia la optimización en el campo de las WSN, destacando la utilidad del modelo P-Median para mejorar tanto el rendimiento como la eficiencia energética en estas redes, lo que representa un avance significativo con aplicaciones potenciales amplias para futuras investigaciones y desarrollos tecnológicos.This study explores an innovative focus for optimizing clusters in the LEACH-C protocol via applying the P-Median model. Using a fixed number of sensors, the method is centered on improving energy efficiency for Wireless Sensor Networks (WSN). Applying the P-Median model managed to delay the death of the first node, reducing both the number of clusters and the number of packets sent to the cluster heads, increasing packets sent to the sink, and increasing average network energy. These advances represent a significant improvement in energy efficiency, a central aspect of WSN, also contributing to long-term sustainability and lowering operating and maintenance costs. The relevance of this study reaches beyond improvements in energy efficiency, presenting the potential to revolutionize resource and infrastructure management, especially in remote areas. The results of this study open a promising path towards optimization in the field of WSN and highlight the usefulness of the P-Median model in improving performance and energy efficiency within these networks.application/pdfengUniversidad de la CostaInge Cuc - 2024http://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessEsta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.http://purl.org/coar/access_right/c_abf2https://revistascientificas.cuc.edu.co/ingecuc/article/view/5450ClustersEnergy efficiencyLEACH-C protocolP-MedianWireless Sensor NetworksWSNClústeresEficiencia EnergéticaProtocolo LEACH-CP-MedianaRedes de Sensores Inalámbricos.Maximizando la Vida Útil de Nodos en Redes de Sensores Inalámbricas: Una aplicación innovadora del problema de Optimización P-Median al Protocolo LEACH-CSr. Maximizing Nodes’ Service Lives In Wireless Sensor Networks: An Innovative Application Of The P-Median Optimization Problem To The Leach-C ProtocolArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articleJournal articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Inge CuCD. Kandris, E. A. Evangelakos, D. Rountos, G. Tselikis, and E. Anas- tasiadis, “LEACH-based hierarchical energy efficient routing in wireless sensor networks,” AEU - International Journal of Electronics and Communications, vol. 169, p. 154758, 9 2023. [2] W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor net- works,” IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660–670, 2002. [3] F. Ye, X. Zhou, Z. Ren, and S. Yang, “Energy Allocation for Stochastic Event Detection in Rechargeable Sensor Networks,” Information Tech- nology and Control, vol. 51, no. 2, pp. 283–293, 6 2022. [4] Q. Zhang and Y. Liu, “An energy cooperation method of wireless sensor networks based on partially observable Markov decision processes,” Sustainable Energy Technologies and Assessments, vol. 55, 2 2023. [5] D. M. Satyavathi and A. C. Sudhir, “OQ-IICA: Optimal QoS-aware intra-inter cluster data aggregation technique for IoT-assisted WSNs using hybrid optimization techniques,” Concurrency and Computation: Practice and Experience, 2023. [6] D. K. J. Bahadur and L. Lakshmanan, “A novel method for optimizing energy consumption in wireless sensor network using genetic algorithm,” Microprocessors and Microsystems, vol. 96, 2 2023. [7] D. Hemanand, C. Senthilkumar, O. S. Saleh, B. Muthuraj, A. Anand, and V. Velmurugan, “Analysis of power optimization and enhanced routing protocols for wireless sensor networks,” Measurement: Sensors, vol. 25, 2 2023. [8] A. Srivastava and P. K. Mishra, “Load-Balanced Cluster Head Selection Enhancing Network Lifetime in WSN Using Hybrid Approach for IoT Applications,” Journal of Sensors, vol. 2023, 2023. [9] H. A. Younus and C. Koçak, “Optimized Routing by Combining Grey Wolf and Dragonfly Optimization for Energy Efficiency in Wireless Sensor Networks,” Applied Sciences (Switzerland), vol. 12, no. 21, 11 2022. [10] F. K. A.B, “ECO-LEACH: A Blockchain-Based Distributed Routing Protocol for Energy-Efficient Wireless Sensor Networks,” Information Dynamics and Applications, vol. 2, no. 1, pp. 1–7, 3 2023. [11] C. P. Verma, “Enhancing Parameters of LEACH Protocol for Efficient Routing in Wireless Sensor Networks,” Journal of Computers, Mechan- ical and Management, vol. 2, no. 1, pp. 26–31, 2 2023. [12] M. Preetha, N. A. Kumar, K. Elavarasi, T. Vignesh, and V. Nagaraju, “A Hybrid Clustering Approach Based Q-Leach in TDMA to Optimize QOS-Parameters,” Wireless Personal Communications, vol. 123, no. 2, pp. 1169–1200, 3 2022. [13] S. Sennan, Kirubasri, Y. Alotaibi, D. Pandey, and S. Alghamdi, “EACR- LEACH: Energy-Aware Cluster-based Routing Protocol for WSN Based IoT,” Computers, Materials and Continua, vol. 72, no. 2, pp. 2159–2174, 2022. [14] I. Daanoune and A. Baghdad, “IBRE-LEACH: Improving the Perfor- mance of the BRE-LEACH for Wireless Sensor Networks,” Wireless Personal Communications, vol. 126, no. 4, pp. 3495–3513, 10 2022. [15] V. Rajpoot, L. Garg, M. Z. Alam, Sangeeta, V. Parashar, P. Tapashetti, and T. Arjariya, “Analysis of machine learning based LEACH robust routing in the Edge Computing systems,” Computers and Electrical Engineering, vol. 96, 12 2021. [16] A. K. Dwivedi and A. K. Sharma, “EE-LEACH: Energy Enhancement in LEACH using Fuzzy Logic for Homogeneous WSN,” Wireless Personal Communications, vol. 120, no. 4, pp. 3035–3055, 10 2021. [17] H. Chaudhary and V. Kumar, “Performance Analysis of LEACH-C and EAMMH protocols in WSN in MATLAB,” in Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021. Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1367–1370. [18] I. Daanoune, A. Baghdad, and A. Ballouk, “Improved LEACH protocol for increasing the lifetime of WSNs,” International Journal of Electrical and Computer Engineering, vol. 11, no. 4, pp. 3106–3113, 8 2021. [19] R. Sinde, F. Begum, K. Njau, and S. Kaijage, “Lifetime improved WSN using enhanced-LEACH and angle sector-based energy-aware TDMA scheduling,” Cogent Engineering, vol. 7, no. 1, 1 2020. [20] “Genetic algorithm based optimized leach protocol for energy efficient wireless sensor networks,” Journal of Ambient Intelligence and Human- ized Computing, vol. 11, no. 3, pp. 1281–1288, 3 2020. [21] R. Gantassi, B. B. Gouissem, and J. B. Othmen, “Routing protocol LEACH-K using K-means algorithm in wireless sensor network,” Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 34th International Conference on Advanced Informa- tion Networking and Applications (WAINA-2020), pp. 299–309, 2020. [22] P. Gou, F. Li, Z. Li, and X. Jia, “Improved LEACH protocol based on efficient clustering in wireless sensor networks,” Journal of Computa- tional Methods in Sciences and Engineering, vol. 19, no. 3, pp. 827–838, 2019. [23] X. Cai, Y. Sun, Z. Cui, W. Zhang, and J. Chen, “Optimal leach protocol with improved bat algorithm in wireless sensor networks,” KSII Transactions on Internet and Information Systems, vol. 13, no. 5, pp. 2469–2490, 5 2019. [24] H. Liang, S. Yang, L. Li, and J. Gao, “Research on routing optimization of WSNs based on improved LEACH protocol,” Eurasip Journal on Wireless Communications and Networking, vol. 2019, no. 1, 12 2019. [25] P. Ullas and K. S. Shivaprakasha, “Smart clustering leach (Sc-leach) pro- tocol for improved network survivability in wireless sensor networks,” International Journal of Recent Technology and Engineering, vol. 8, no. 2, pp. 6106–6110, 7 2019. [26] C. S. ReVelle, H. A. Eiselt, and M. S. Daskin, “A bibliography for some fundamental problem categories in discrete location science,” European Journal of Operational Research, vol. 184, no. 3, pp. 817–848, 2008. [Online]. Available: https://doi.org/10.1016/j.ejor.2006.12.044 [27] C. Boonmee, M. Arimura, and T. Asada, “Facility location optimization model for emergency humanitarian logistics,” International Journal of Disaster Risk Reduction, vol. 24, pp. 485–498, 9 2017. [28] A. Zattas, “LEACH,” 2023, MATLAB Central File Exchange. [Online]. Available: https://www.mathworks.com/matlabcentral/fileexchange/66 574-leach [29] R. C. Team, “R: A Language and Environment for Statistical Comput- ing,” Vienna, Austria, 2021.183171120https://revistascientificas.cuc.edu.co/ingecuc/article/download/5450/5358Núm. 1 , Año 2024 : (Enero - Junio)OREORE.xmltext/xml2772https://repositorio.cuc.edu.co/bitstreams/104ffe32-7a97-462b-aabd-e431b3163188/download7c03056600e746cd43d1c48d3e7155d1MD5111323/13756oai:repositorio.cuc.edu.co:11323/137562025-01-21 03:30:35.318http://creativecommons.org/licenses/by-nc-nd/4.0Inge Cuc - 2024metadata.onlyhttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.co |