On Event Signal Reconstruction in Wireless Sensor Networks

Abstract

Abstract. In Wireless Sensor Networks (WSN), the effective detection and reconstruction of the event signal is mainly based on the regulation of sampling and communication parameters used by the sensor nodes. The aim of this paper is to understand the effect of these parameters on the reconstruction performance of event signal in WSN. Theoretical analysis and results show that with proper selection of sampling and communication parameters, the event signal can be satisfactorily reconstructed at the sink. Furthermore, this study also reveals that the non-uniform and irregular sampling of the event signal outperform the uniform sampling in terms of the reconstruction performance while providing significant energy conservation. Moreover, it is also shown that node density is closely related with the quality.

Distributed audio sensing with homeostasis-inspired autonomous communication

“…Based on the spectral bandwidth of the event signal estimated by the N-Sensor, HAC enables G-sensors to determine the number of samples which must be delivered in order to enable accurate reconstruction at the sink. Furthermore, it also provides significant energy conservation by means of an efficient sampling scheme named irregular sampling [9]. In this scheme, each N-sensor takes samples from the event signal with a probability (α) called sampling probability while it samples the event signal with sampling frequency f .…”

“…2. Since the irregular sampling scheme decreases the number of samples transmitted over the network by a sensor node, it decreases excessive traffic load which may cause possible packet losses, and therefore, it provides more accurate reconstruction at the sink with significant energy conservation [9]. The overall HAC operation is composed of five distinct phases as briefly introduced below:…”

Data Driven Performance Evaluation of Wireless Sensor Networks

“…Even the studies of how wireless sensor networks are able to report data they collect by means of estimated errors are scarcely found. Some authors as [ 9 – 12 ] studied analytical bounds of the quality of the reconstructed signal by means of the classical Shannon-Nyquist theory. Specifically, Nordio et al .…”