Design neural wireless sensor network using FPGA

Abstract EN

Wireless sensor networks (WSN) are an existing emerging technology that scientists believe to become a part of everyday life in the next few years.

However, at this time many issues in wireless sensor networks remain unresolved.

This paper studies the architecture of a neural wireless sensor network designed to identify technical condition of the base station of wireless sensor networks, and this work presents an on-chip artificial neural networks (ANN) in a Field Programmable Gate Arrays (FPGA) system.

In order to take maximum advantage of the distributed architecture of multiple NN systems is to providing a high degree of parallelism between NNs and, hence, a higher speed-up in relation to a sequential implementation.

The goal of this work is to realize the hardware implementation of the base station of neural wireless sensor network using FPGAs to measure humidity, temperature and light for the security system of an office.