Comprehensive electrical models for a wireless sensor network device
Bernardo Yaser León Ávila,
Carlos Alberto García Vázquez,
Osmel Pérez Baluja,
Daniel Tudor Cotfas,
Petru Adrian Cotfas
Affiliations
Bernardo Yaser León Ávila
Transilvania University of Brașov, Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, Brasov, 500036, Romania; University of Sancti Spiritus “José Martí Pérez”, Department of Computer Engineering, Faculty of Business and Technical Sciences, Comandante Manuel Fajardo s/n, Olivos 1, Sancti Spíritus, 60100, Cuba; Corresponding author. Transilvania University of Brașov, Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, Brasov, 500036, Romania.
Carlos Alberto García Vázquez
Transilvania University of Brașov, Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, Brasov, 500036, Romania; Technological University of Havana, Department of Automation and Computing, Faculty of Automation and Biomedical Engineering, Street 114 No. 11901 between Ciclovía and Rotonda, Havana, 19390, Cuba
Osmel Pérez Baluja
Transilvania University of Brașov, Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, Brasov, 500036, Romania; Technological University of Havana, Department of Automation and Computing, Faculty of Automation and Biomedical Engineering, Street 114 No. 11901 between Ciclovía and Rotonda, Havana, 19390, Cuba
Daniel Tudor Cotfas
Transilvania University of Brașov, Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, Brasov, 500036, Romania
Petru Adrian Cotfas
Transilvania University of Brașov, Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, Brasov, 500036, Romania
This paper proposes a novel circuit model of a Wireless Sensor Network (WSN) device. The model is designed to accurately represent the behavior of a WSN device operating in a duty cycle, capturing the essential characteristics of its components, including the microcontroller, sensor, transceiver, and power supply. The proposed model incorporates static and dynamic power consumption aspects, reflecting the energy usage patterns during various operational states such as sensing, processing, and communication. The model's accuracy is validated through a comparative analysis with a LTspice® implementation and a real mote implemented for this study. Simulation results closely match the empirical data, demonstrating the model's effectiveness in predicting the mote's behavior. This approach provides a valuable tool for optimizing power consumption and extending the lifetime of WSN deployments within a simulation environment, offering significant insights for designers and researchers in this field.
