Sr. Maximizing Nodes’ Service Lives In Wireless Sensor Networks: An Innovative Application Of The P-Median Optimization Problem To The Leach-C Protocol

Authors

  • Cesar Sandoval Navarrete Universidad de Santiago de Chile
  • PhD Universidad de Santiago de Chole
  • PhD Universidad Tecnológica Metropolitana

DOI:

https://doi.org/10.17981/ingecuc.20.1.2024.09%20

Keywords:

Clusters, Energy efficiency, LEACH-C protocol, P-Median, Wireless Sensor Networks, WSN

Abstract

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.

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Author Biographies

PhD, Universidad de Santiago de Chole

Pablo Adasme earned his Ph.D. in Computer Science from Université Paris Sud 11, France, specializing in wireless network communications and mathematical programming, encompassing linear and non-linear programming as well as combinatorial and convex optimization. He brings his expertise in optimization and wireless communications to his current role at the University of Santiago de Chile, contributing to both academia and research

PhD, Universidad Tecnológica Metropolitana

Ali Dehghanfirouzabadi holds a Ph.D. in Electrical Engineering - Telecommunications from Yazd University, Iran. His research spans signal processing in various domains, from biomedical applications to visible light communication. At the Technological Metropolitan University in Santiago de Chile, he is known for his innovative work in speech enhancement and the processing of musical, exoplanetary, and seismic signals.

References

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

“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.

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.

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.

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.

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.

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.

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

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.

A. Zattas, “LEACH,” 2023, MATLAB Central File Exchange. [Online]. Available: https://www.mathworks.com/matlabcentral/fileexchange/66 574-leach

R. C. Team, “R: A Language and Environment for Statistical Comput- ing,” Vienna, Austria, 2021.

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Published

2024-05-22

How to Cite

Sandoval Navarrete, C., Adasme, P., & Dehghan Firoozabadi , A. (2024). Sr. Maximizing Nodes’ Service Lives In Wireless Sensor Networks: An Innovative Application Of The P-Median Optimization Problem To The Leach-C Protocol. INGE CUC, 20(1). https://doi.org/10.17981/ingecuc.20.1.2024.09