EERP-WOA: Energy Efficient Routing Protocol using an enhanced Whale Optimization Algorithm for WSN

Authors

  • Mohammed Kaddi, Ramadhan Masmoudi, Mohammed Omari

Keywords:

WSN; WOA_A-star; energy consumption; lifespan

Abstract

Wireless sensor networks (WSNs) are mostly made up of tiny, intelligent devices known as wireless sensors that can monitor, gather, and transmit data. Sensor nodes are generally equipped with very limited energy resources. One of the primary problems in the WSN is data routing and node energy consumption, so an efficient technique that accounts for network energy is required. This paper suggests a novel energy-efficient routing protocol called EERP-WOA using an enhanced Whale Optimization Algorithm (WOA) by integrating a novel fitness function in the clustering phase. Simulation results show that the proposed EERP-WOA protocol performs better than ESO-GJO and PSO-LSA protocols regarding energy conservation and extending network lifespan.

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References

Roberts,M.K.; Thangavel, J., "An improved optimal energy aware data availability approach for secure clustering and routing in wireless sensor network," Transactions on Emerging Telecommunications Technologies, vol.34, no.3, e4711,2023.

Balamurugan, A.; Janakiraman, S.; Priya, M. D.; Malar, A. C. J., "Hybrid Marine predators optimization and improved particle swarm optimization-based optimal cluster routing in wireless sensor networks (WSNs)," China Communications, vol.19, no.6, pp.219-247, 2022.

Kandris, D.; Nakas, C.; Vomvas, D.; Koulouras, G., "Applications of Wireless Sensor Networks: An Up-to-Date Survey," Appl. Syst. Innov, vol.3, no.1,14, 2020.

Navarro, M.; Davis, T.W.; Liang, Y.; Liang, X, "Astudy of long-term WSN deployment for environmental monitoring," in IEEE 24th Annual Int. Symp. on Personal, Indoor, and Mobile Radio Communications, London, UK, pp. 2093–2097, 2013.

ISNOMO, Y.H.P.; MULADI; ELMUNSYAH, H., "Systematic Literature Review: Development of The Leach Protocol Algorithm for Efficient Energy Consumption in WSN," Przeglad Elektrotechniczny, vol. 7, pp. 148-157, 2024.

Subedi, S.; Acharya, S.K.; Lee, J.; Lee, S., "Two-Level Clustering Algorithm for Cluster Head Selection in Randomly Deployed Wireless Sensor Networks," Telecom 2024, vol.5, no. 3, pp.522-536, 2024.

Mirjalili,S.; Lewis, A., "The whale optimization algorithm," Advances in Eng Software, vol. 95, no. C, pp. 51-67, 2016.

Priyanka, B. N.; Jayaparvathy, R.; DivyaBharathi, D., "Efficient and Dynamic Cluster Head Selection for Improving Network Lifetime in WSN using Whale Optimization Algorithm," Wireless Pers Commu, vol.123, no.4, pp.1467-1481, 2022.

Nasiri, J.; Khiyabani, F. M., "A whale optimization algorithm (WOA) approach for clustering,” Cogent Mathematics & Statistics, vol. 5, no.1, pp. 1483565, 2018.

Jadhav, A. R.; Shankar, T, "Whale optimization based energy-efficient cluster head selection algorithm for wireless sensor networks," ArXiv. /abs/1711.09389, 2017.

Bali, H.; Gill, A.; Choudhary, A.; Anand, D.; Alharithi, F.S.; Aldossary, S. M.; et al., "Multi-Objective Energy Efficient Adaptive Whale Optimization Based Routing for Wireless Sensor Network," Energies. Vol. 15, no. 14, pp.5237, 2022.

Wang, Z.; Duan, J.; Xing, P., "Multi-Hop Clustering and Routing Protocol Based on Enhanced Snake Optimizer and Golden Jackal Optimization in WSNs," Sensors, vol. 24, no. 4, pp.1348, 2024.

Senthil, G.A.; Raaza, A.; Kumar, N., "Internet of Things Energy Efficient Cluster-Based Routing Using Hybrid Particle Swarm Optimization for Wireless Sensor Network," Wirel. Pers. Commun., vol.122, no. 3, pp. 2603-2619, 2021.

Heinzelman, W. B.; Chandrakasan, A. P.; Balakrishnan H., "An Application-Specific Protocol Architecture for Wireless Microsensor Networks," IEEE On Wireless Communications Trans, vol.1, no.4, pp.660-670, 2002.

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Published

12.06.2024

How to Cite

Mohammed Kaddi. (2024). EERP-WOA: Energy Efficient Routing Protocol using an enhanced Whale Optimization Algorithm for WSN. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 2688 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6737

Issue

Vol. 12 No. 4 (2024)

Section

Research Article

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