Information quality mapping in resource-constrained multi-modal data fusion system over wireless sensor network with losses

One of the approaches to reduce the complexity of application adaptation for a particular sensor network installation is to separate the application completely from the information acquisition level of the sensor network. However, in this case the question arises if the information obtained is good enough for the application. In this paper we describe the possible metrics of information quality (IQ) in the sensor network. We present a framework which addresses the problem of satisfying the IQ in the case of a dynamic system with resource constraints and communication losses. The framework is based on the Dynamic Bayesian Network model. The framework is built on a base of a constraint optimization problem which takes into account all the levels of information processing, from measurement to aggregation to data delivery by the network.