Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
Distributed detection and fusion in a large wireless sensor network of random size
EURASIP Journal on Wireless Communications and Networking
Energy-driven detection scheme with guaranteed accuracy
Proceedings of the 5th international conference on Information processing in sensor networks
Large System Decision Fusion Performance in Inhomogeneous Sensor Networks
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
On Sensor Sampling and Quality of Information: A Starting Point
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
Simulation and evaluation of mixed-mode environments: towards higher quality of simulations
SIMPAR'10 Proceedings of the Second international conference on Simulation, modeling, and programming for autonomous robots
Optimal, quality-aware scheduling of data consumption in mobile ad hoc networks
Journal of Parallel and Distributed Computing
Multivariate context collection in mobile sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The quality of information (QoI) that sensor networks provide to the applications they support is an important design goal for their deployment and use. In this paper, we introduce a layered framework for QoI-centered evaluation of sensor network deployment. The layered framework allows decomposing the deployment evaluation in three steps: input pre-processing, core analysis, and result post-processing. The layering allows the creation of a rich, modular toolkit for QoI-centered analysis that can accommodate both existing and new system modeling and analysis techniques. We demonstrate the utility of the framework by comparing the QoI performance of finite-sized sensor networks with general deployment topology. We also derive some new analysis results for the class of applications considered herein.