Abstract
The Quality of Information QoI is an important metric that sensor networks provide to applications. In this paper, a hypothesis testing based framework for sensor networks is considered for analysing the QoI performance under the cases of Single Sensor Single Decision-Making SSSD, Multi-Sensor Single Decision-Making MSSD and Multi-Sensor Multiple Decision-Making MSMD detection systems, respectively. The detection probability, false alarm probability and average error probability are treated as the QoI metrics and some explicit solutions are derived, which can capture the impact of various parameters on the QoI metrics. Owing to the dynamic and time-varying characteristics of the target signal of interest, a rate-based QoI control scheme is proposed to effectively control the QoI requirements by adaptively adjusting the data sampling rates of sensors. Numerical results are presented for evaluating the performance of the SSSD, MSSD and MSMD systems and validating the effectiveness of the QoI control scheme.
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