Artificial Neural Network Application for Error Estimation in Wireless Sensor Network

Abstract

This paper comes up with an error estimation model for Wireless Sensor Nodes, the integrity of data received after transmission within a signal coverage range less or equal to 45 metres is analysed, Neural Network linear regression method was used to evolve resolve equation that compare error with weight of data received as de(v) against dw_ij , an equation for error rate was also evolved after careful comparing between data packet transmitted and packet received, error rate e_r for sensor was calculated to be 0.00918 thereby establishing the fact that expected packed to be received for every data transmitted is the product of e_r and Packet Transmitted.