Evaluation of a wireless low-energy mote with fuzzy algorithms and neural networks for remote environmental monitoring

The devices developed for applications in the internet of things have evolved technologically improvement hardware and software components, area optimization life time to increase capacity save energy. This paper shows development a fuzzy logic algorithm power propagation neural network wireless mote (IoT end device). changes transmission frequency according battery voltage solar cell voltage. Moreover,the implementation algorithms based on networks, implied challenge evaluation study energy commitment algorithm, memory space low consumption.