Quality of information: An empirical approach

In this paper we examine the quality of information (QoI) at the output of a real wireless sensor network by considering the difference between the monitored environment and the interpreted data produced by the network. Using practical examples in an experimental setting, we hope to shed light on the concept of QoI and on the manner of estimating and evaluating it. We use a real wireless network in combination with simulated events, to help us formulate and understand the concept of QoI and its associated technical questions. Using algorithms such as trilateration and clustering to interpret the outputs of the sensor network, we explore several definitions of QoI, including the peak signal to noise ratio. Furthermore we investigate the impact that different packet transmission approaches have on the QoI. We show that QoI is time-varying, and that in-network processing allows QoI levels to be maintained while reducing network load.