A framework for QoI-inspired analysis for sensor network deployment planning
WICON '07 Proceedings of the 3rd international conference on Wireless internet
Quality-driven human-centered approach for service provisioning in ambient environment
HCC '08 Proceedings of the 3rd ACM international workshop on Human-centered computing
Adaptive packet prioritisation for wireless sensor networks
NGI'09 Proceedings of the 5th Euro-NGI conference on Next Generation Internet networks
Modeling and assessing quality of information in multisensor multimedia monitoring systems
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Fast track article: Balancing behavioral privacy and information utility in sensory data flows
Pervasive and Mobile Computing
On location privacy and quality of information in participatory sensing
Proceedings of the 8h ACM symposium on QoS and security for wireless and mobile networks
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Many sensor-based applications (re)act following the detection of certain events of interest. Hence, the effectiveness of these applications depends on the quality of the information (QoI) provided by their sensor-based event detectors. In this paper, we derive relationships between the QoI attributes of timeliness and confidence and the operational characteristics of sensor systems and the events they detect. By building upon the Neyman-Pearson hypothesis testing procedure, we study the dependence of these characteristics and attributes on each other and establish their theoretical performance boundaries.