A Dual Optimization Adaptive Approach Using Hybrid Modelling of Firefly Algorithm Optimization and Fuzzy Logic Inference System (FFA-FIS) for Congestion Aware Controlled Routing and Energy Balancing in Wireless Sensor Networks

Authors

  • Yenugula Swapna, Dr. Kamalraj T, Dr. Balakrishna R

Keywords:

Ant Colony Optimization, Grey Wolf Optimization, Firefly Algorithm, Hybrid Routing Protocols, Adaptive Routing, Network Lifetime, Packet Delivery Ratio, Load Balancing.

Abstract

In this research paper, the software implementation of the hybrid model of Firefly Algorithm with Fuzzy Inference Systems (FA-FIS) algorithm for the proposed research work on “Cluster-based routing by using advanced ICSHS algorithm for efficient energy management (Congestion minimization and energy aware cluster based routing algorithms for wireless sensor networks)” is presented along with the simulation results, discussions,justifications along with the comparisions of the proposed work with other work

References

T. Hafeez, N. Javaid, A. R. Hameed, A. Sher, Z. A. Khan and U. Qasim, “AVN-AHH-VBF: Avoiding Void Node with Adaptive Hop-by-Hop Vector Based Forwarding for Underwater Wireless Sensor Networks,” 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), Fukuoka, 2016, pp. 49-56. doi: 10.1109/IMIS.2016.131

A. Wahid, S. Lee, H. Jeong, and D. Kim, “Eedbr: Energy-efficient depth based routing protocol for underwater wireless sensor networks”, Advanced Computer Science and Information Technology, pp. 223–234. Springer Berlin Heidelberg, 2011. J. Khan, and H. Cho, “A Distributed Data-Gathering Protocol Using AUV in Underwater Sensor Networks”, Sensors, vol. 15, no. 8, pp. 19331–19350, 2015.

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Published

2024-06-10

How to Cite

Yenugula Swapna, Dr. Kamalraj T, Dr. Balakrishna R. (2024). A Dual Optimization Adaptive Approach Using Hybrid Modelling of Firefly Algorithm Optimization and Fuzzy Logic Inference System (FFA-FIS) for Congestion Aware Controlled Routing and Energy Balancing in Wireless Sensor Networks . Journal of Computational Analysis and Applications (JoCAAA), 33(06), 1654–1666. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2357

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