Optimizing Energy Consumption Using Fruit Fly and Ant Colony Optimization Algorithms in Wireless Sensor Networks

Authors

  • Rajeev Kumar, Reeta Bhardwaj, Pawan Kumar

Keywords:

Fruit Fly, Ant Colony, BOA, LEACH, Path Optimization, Clustering

Abstract

Wireless sensor networks (WSNs) are crucial in sensing environmental conditions in far-flung areas. However,their energy consumption remains a critical issue, affecting the network's lifetime and coverage area. Clusteringhas emerged as an efficient strategy to prolong sensor network lifespan, and the Fruit Fly Algorithm (FFA) and Ant Colony Optimization

References

A. G. Patil, C. R. Singla and O. Rajankar, "Design of Fuzzy Logic Clustering Algorithm for Energy Efficiency and Security in Wsn’s," 2022 2nd Asian Conference on Innovation in Technology (ASIANCON), Ravet, India, 2022, pp. 1-6, doi: 10.1109/ASIANCON55314.2022.9909343.

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Published

2024-01-20

How to Cite

Rajeev Kumar, Reeta Bhardwaj, Pawan Kumar. (2024). Optimizing Energy Consumption Using Fruit Fly and Ant Colony Optimization Algorithms in Wireless Sensor Networks . Journal of Computational Analysis and Applications (JoCAAA), 32(1), 1121–1133. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3816

Issue

Vol. 32 No. 1 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.