In this study, we built and simulated a solar energy recovery and storage system for wireless sensors. To accomplish so, we created models for each component: the solar panel, the adaptation circuit (in which we used the disrupt and observe command in conjunction with fuzzy logic to determine the MPP), and the energy storage supercapacitor. This research is part of an effort to use wireless sensors and actuators to safeguard Senegal’s rice fields against grain-eating birds. Energy consumption is a critical factor in this wireless communication method between things. Indeed, it determines how long applications based on this technology will last. This research developed and modelled a solar energy recovery and storage system for powering wireless sensors. We did this by modelling each component, which included the The supercapacitor for energy storage, the solar panel, and the adaptation circuit, which used the disrupt and observe instruction in conjunction with fuzzy logic to discover the MPP. Supercapacitor technology was also used to store energy in the study. In the research region, the models’ simulations produce adequate results for a wireless communication node’s independent power supply.

Author(S) Details

Salick Diagne
Gaston Berger University, Saint-Louis, Senegal.

Abdou Karim Farota
Gaston Berger University, Saint-Louis, Senegal.

Ognadon Assogba
Gaston Berger University, Saint-Louis, Senegal.

Bouya Diop
Gaston Berger University, Saint-Louis, Senegal.

Thierry Val
IRIT, University of Toulouse 2, Toulouse, France.

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