Fuzzy Logic-Driven Hybrid Solar and RF Energy Harvesting Framework for Enhanced Efficiency in Wireless Sensor Networks
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Abstract
Wireless Sensor Networks (WSNs) are pivotal in modern technological ecosystems, yet their performance is often constrained by limited energy availability. This paper presents a novel Fuzzy Logic-Driven Hybrid Solar and RF Energy Harvesting Framework to address energy efficiency challenges in WSNs. The proposed framework integrates solar and radio frequency (RF) energy harvesting mechanisms, dynamically optimized using a fuzzy logic-based control system. The fuzzy logic system evaluates real-time solar intensity, RF signal strength, and energy demand to achieve optimal energy allocation and distribution across the network. Simulation results demonstrate significant improvements in network lifetime, energy utilization, and reliability compared to conventional energy harvesting methods. The framework promises a sustainable and efficient energy management solution for WSN applications, enhancing their operational longevity and robustness.
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