FPGA Based Neural Wireless Sensor Network
Ban Mohammed Khammas, Mohammed K. Zibar · 2012
Wireless sensor networks (WSN) are an exciting emerging technology that scientists believe to become a part of everyday life in the next few years.The present work describes the implementation of the Back propagation algorithm for use in Wireless Sensor Network (WSN) applica tion. The application had been performed over an FPGA (field -programmable gate arrays), and MATLAB software package.Moreover, this paper studies the architecture of a neural wireless sensor network designed to identify technical conditions (temperature, humidity, and light (total solar radiation (TSR) and the photo synthetically active radiation (PAR)) of the base station of wireless sensor networks. A comparison between FPGA and MATLAB software implementation is then made with different output technical conditions of WSN; thedifferences were not too much.