Analysis and Design of a Wireless Sensor Network Based on the Residual Energy of the Nodes and the Harvested Energy from Mint Plants

Nowadays, the use of sensor nodes for IoT is widespread; that compose these networks must possess self-organizing capabilities and communication protocols require less energy consumption during procedures. In this work, we propose design analysis an harvesting system using bioelectricity harvested from mint plants aids in powering a particular wireless operating continuous monitoring mode. The based on randomly turning ON (active nodes) OFF (inactive to avoid their depletion. While node inactive state, it allowed harvest surroundings. However, while its surroundings, unable report data. As such, clear compromise established between amount information reported lifetime network. To finely tune system’s parameters offer adequate operation, derive mathematical model discrete Markov chain describes main dynamics system. We observe with plants, order few Joules; nonetheless, such small values can sustain transmission if correctly adapted drive sensor. If consider lowest mean obtained be used transmit up 259,564 bits or also receive 301,036 bits. On other hand, greatest energy, 2,394,737 2,777,349