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This is a Quantitative Study study (also classified as: Experimental Study).

October 12, 2025Open Access

Energy-Efficient Fuzzy Logic Routing Protocol with Mathematical Optimization for Underwater Wireless Sensor Networks

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This routing protocol reduces energy consumption by 31% in underwater networks, suggesting improved performance for IoT applications.

Significant improvements achieved include a 47% extended network lifetime and a 31% reduction in energy consumption.
The protocol integrates key parameters like residual energy and hop count into a fuzzy inference system for optimal routing.
Extensive simulations validated the protocol's effectiveness using NS-3 and real-world underwater datasets.
Rigorous mathematical analysis provides convergence proofs and optimization theorems for network performance.

Sharma et al. (2025) studied this question.

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October 12, 2025Open Access

View Full Paper

Ask AI

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Authors

This routing protocol reduces energy consumption by 31% in underwater networks, suggesting improved performance for IoT applications.

Significant improvements achieved include a 47% extended network lifetime and a 31% reduction in energy consumption.
The protocol integrates key parameters like residual energy and hop count into a fuzzy inference system for optimal routing.
Extensive simulations validated the protocol's effectiveness using NS-3 and real-world underwater datasets.
Rigorous mathematical analysis provides convergence proofs and optimization theorems for network performance.

Sharma et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark