Energy-Efficient Clustering in WSN using Bacterial Foraging and Krill Herd Optimization

Authors

  • Aruna Reddy H. Vemana Institute of Technology (VTU), Bangalore, India
  • Shivamurthy G. VTU CPGSB Muddenahalli, Bangalore, India
  • Rajanna M. Vemana Institute of Technology (VTU),Bangalore,India

Keywords:

Bacterial ForagingBacterial Foraging, Clustering, WSN, Routing, Krill Herd Optimization

Abstract

Wireless Sensor Networks (WSNs), a ground-breaking technology, potentially altered the use of a wide range of applications through the advent and usage of IoT. Even though there have been various proposals on energy-efficient clustering in WSN, an optimized approach concerning the restrictions and sustainability of IoT components is still demanded. The proposed research work combines the behavior of bacterial foraging and Krill herd optimization for the benefit of optimized cluster head selection. An optimized path through cluster heads is achieved using the Geiger Muller Counter Auto Extraction. This approach brings up the network lifetime, as proved by the simulation results.

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References

Zhao, J., Qiao, C., Sudhaakar, R. S., & Yoon, S., “Improve efficiency and reliability in single-hop WSNs with transmit-only nodes,” IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 3, pp. 520-534, 2012.

Khosravirad, S. R., Viswanathan, H., & Yu, W., “Exploiting diversity for ultra-reliable and low-latency wireless control,” IEEE Transactions on Wireless Communications, vol. 20, no. 1, pp. 316-331, 2020.

Haseeb, K., Islam, N., Almogren, A., Din, I. U., Almajed, H. N., & Guizani, N., “Secret sharing-based energy-aware and multi-hop routing protocol for IoT based WSNs,” IEEE Access, vol. 7, pp. 79980-79988, 2019.

Tita, E. D., Nwadiugwu, W. P., Lee, J. M., & Kim, D. S., “Real-time optimizations in energy profiles and end-to-end delay in WSN using two-hop information,” Computer Communications, vol. 172, pp. 169-182, 2021.

Hossain, M. A., Noor, R. M., Yau, K. L. A., Azzuhri, S. R., Z’Abar, M. R., Ahmedy, I., & Jabbarpour, M. R., “Multi-objective Harris hawks optimization algorithm based 2-Hop routing algorithm for CR-VANET,” Ieee Access, vol. 9, pp. 58230-58242, 2021.

Zhu, B., Bedeer, E., Nguyen, H. H., Barton, R., & Henry, J., “Improved soft-k-means clustering algorithm for balancing energy consumption in wireless sensor networks,” IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4868-4881, 2020.

Azooz, S. M., Majeed, J. H., Ibrahim, R. K., & Ali, A. H., “Implementation of energy-efficient routing protocol within real time clustering wireless sensor networks,” Bulletin of Electrical Engineering and Informatics, vol. 11, no. 4, pp. 2062-2070, 2022.

Hasson, S. T., & Abbas, A. T., “A clustering approach to model the data dissemination in VANETs,” In 2021 1st Babylon International Conference on Information Technology and Science (BICITS), IEEE, pp. 337-342, 2021.

Mukhtaruzzaman, M., & Atiquzzaman, M., “Junction-based stable clustering algorithm for vehicular ad hoc network,” Annals of Telecommunications, vol. 76, pp. 777-786, 2021.

Mehta, D., & Saxena, S., “MCH-EOR: Multi-objective cluster head based energy-aware optimized routing algorithm in wireless sensor networks,” Sustainable Computing: Informatics and Systems, vol. 28, pp. 100406, 2020.

Paul, S. P., & Vetrithangam, D., “Design and Analysis of an Efficient and Load-Balanced Multipath Routing Algorithm for Energy-Effective Wireless Sensor Networks,” International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 10, pp. 601–617, 2023.

Kuthe, A., & Salunke, M. D., “BRMFC: Design of a Bioinspired Routing Model with Fan Clustering for Wireless Sensor Networks,” International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 10, pp. 746–753, 2023.

Hamdi, M. M., Al-Dosary, O. A. R., Alrawi, O. A. S., Mustafa, A. S., Abood, M. S., & Noori, M. S., “An overview of challenges for data dissemination and routing protocols in VANETs,” In 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), IEEE, pp. 1-6, 2021.

Zhang, T., Chen, G., Zeng, Q., Song, G., Li, C., & Duan, H., “Routing clustering protocol for 3d wireless sensor networks based on fragile collection ant colony algorithm,” IEEE Access, vol. 8, pp. 58874-58888, 2020.

Choudhary, A., Kumar, S., Gupta, S., Gong, M., & Mahanti, A., “FEHCA: A fault-tolerant energy-efficient hierarchical clustering algorithm for wireless sensor networks,” Energies, vol. 14, no. 13, pp. 3935, 2021.

Prabha, M., Anbarasan, M., Sunithamani, S., & Saranya, M. K., “Hierarchical Fuzzy Methodologies for Energy Efficient Routing Protocol for Wireless Sensor Networks,” In 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), IEEE, pp. 989-992, 2023.

Zhang, M., Li, J., Wu, X., & Wang, X., “Coalition Game Based Distributed Clustering Approach for Group Oriented Unmanned Aerial Vehicle Networks,” Drones, vol. 7, no. 2, pp. 91, 2023.

Nondy, Joy, and Tapan Kumar Gogoi., “Performance comparison of multi-objective evolutionary algorithms for energetic and energoenvironomic optimization of a benchmark combined heat and power system,” Energy, vol. 233, pp. 121135, 2021.

Maharajan, M. S., Abirami, T., Pustokhina, I. V., Pustokhin, D. A., & Shankar, K., “Hybrid Swarm Intelligence Based QoS Aware Clustering with Routing Protocol for WSN,” Computers, Materials & Continua, vol. 68, no. 3, 2021.

Jeaunita, T. J., & Sarasvathi, V., “A Multi-Agent Reinforcement Learning-Based Optimized Routing for QoS in IoT,” Cybernetics and Information Technologies, vol. 21, no. 4, pp. 45-61, 2021.

Abualigah, L., Diabat, A., & Geem, Z. W., “A comprehensive survey of the harmony search algorithm in clustering applications,” Applied Sciences, vol. 1, no. 11, pp. 3827, 2020.

Tagne Fute, E., Nyabeye Pangop, D. K., & Tonye, E., “A new hybrid localization approach in wireless sensor networks based on particle swarm optimization and tabu search,” Applied Intelligence, vol. 53, no. 7, pp. 7546-7561, 2023.

Agrawal, R. K., Kaur, B., & Sharma, S., “Quantum based whale optimization algorithm for wrapper feature selection,” Applied Soft Computing, vol. 89, pp. 106092, 2020.

Sama, N. U., Zen, K. B., Rahman, A. U., BiBi, B., Rahman, A. U., & Chesti, I. A., “Energy efficient least edge computation LEACH in wireless sensor network,” In 2020 2nd International Conference on Computer and Information Sciences (ICCIS), IEEE, pp. 1-6, 2020.

Dhand, G., & Sheoran, K., “Protocols SMEER (Secure Multitier Energy Efficient Routing Protocol) and SCOR (Secure Elliptic curve based Chaotic key Galois Cryptography on Opportunistic Routing),” Materials Today: Proceedings, vol. 37, pp. 1324-1327, 2021.

Mehta, D., & Saxena, S., “Hierarchical WSN protocol with fuzzy multi-criteria clustering and bio-inspired energy-efficient routing (FMCB-ER),” Multimedia Tools and Applications, vol. 81, no. 24, pp. 35083-35116, 2022.

Narayan, V., Daniel, A. K., & Chaturvedi, P., “E-FEERP: Enhanced Fuzzy based Energy Efficient Routing Protocol for Wireless Sensor Network,” Wireless Personal Communications, pp. 1-28, 2023.

Maharajan, M. S., Abirami, T., Pustokhina, I. V., Pustokhin, D. A., & Shankar, K., “Hybrid Swarm Intelligence Based QoS Aware Clustering with Routing Protocol for WSN,” Computers, Materials & Continua, vol. 68, no. 3, 2021.

Jeske, M., Rosset, V., & Nascimento, M. C., “Determining the trade-offs between data delivery and energy consumption in large-scale WSNs by multi-objective evolutionary optimization,” Computer Networks, vol. 179, pp. 107347, 2020.

Sennan, S., Ramasubbareddy, S., Nayyar, A., Nam, Y., & Abouhawwash, M., “LOA-RPL: Novel Energy-Efficient Routing Protocol for the Internet of Things Using Lion Optimization Algorithm to Maximize Network Lifetime,” Computers, Materials & Continua, vol. 69, no. 1, 2021.

Veerapaulraj, S., Karthikeyan, M., Sasipriya, S., & Shanthi, A. S., “An Optimized Novel Trust-Based Security Mechanism Using Elephant Herd Optimization,” Computer Systems Science & Engineering, vol. 44, no. 3, 2023.

Cherappa, V., Thangarajan, T., Meenakshi Sundaram, S. S., Hajjej, F., Munusamy, A. K., & Shanmugam, R., “Energy-Efficient Clustering and Routing Using ASFO and a Cross-Layer-Based Expedient Routing Protocol for Wireless Sensor Networks,” Sensors, vol. 23, no. 5, pp. 2788, 2023.

Chen, H., Wang, L., Di, J., & Ping, S., “Bacterial foraging optimization based on self-adaptive chemotaxis strategy,” Computational Intelligence and Neuroscience, vol. 2020, 2020.

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Published

25.12.2023

How to Cite

Reddy H., A. ., G., S. ., & M., R. . (2023). Energy-Efficient Clustering in WSN using Bacterial Foraging and Krill Herd Optimization. International Journal of Intelligent Systems and Applications in Engineering, 12(2), 225–235. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4246

Issue

Vol. 12 No. 2 (2024)

Section

Research Article

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