A Detection for Positioning Sensor Node Based on Multilayer Perceptron

Abstract

Node positioning accuracy and the environmental impact on devices in wireless sensor networks (WSN) have been paid attention much by scholars recently. This paper proposed a prediction method for the sensor node positioning based on a multilayer perception in the neural networks. The node locations based on its signals’ strength characteristics are captured to be a dataset. The features about the signal strength of the node considered to extract from a large number of signal strength samples included noise that is measured by the nearest neighbor estimation for inputs of the scheme system. The experimental results compared with the other method in the literature shows that the proposed scheme provides higher positioning accuracy and the lower average error than the competitors.