Authors: Shensheng Tang; Brenten Davis
Addresses: Missouri Western State University, St. Joseph, MO 64507, USA ' Missouri Western State University, St. Joseph, MO 64507, USA
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.
Keywords: quality of information; QoI; detection probability; false alarm probability; sampling rate; WSNs; wireless sensor networks.
International Journal of Wireless and Mobile Computing, 2015 Vol.8 No.2, pp.103 - 113
Received: 11 Jul 2014
Accepted: 28 Aug 2014
Published online: 28 Mar 2015 *