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This paper proposes a data acquisition scheme which supports probabilistic data quality assurance in an error-prone wireless sensor network (WSN). Given a query and a statistical model of real-world data which is highly correlated, the aim of the scheme is to find a sensor selection scheme which is used to deal with inaccurate data and probabilistic guarantee on the query result. Since most sensor...
This paper proposes a sensor selection scheme for data acquisition which supports probabilistic confidence requirements in wireless sensor networks (WSNs). The aim of the scheme is to optimize the long-term performance criterion in data collection while maintaining data reliability under error-prone WSNs. We formulate the problem as a partially observable Markov decision process (POMDP). An existing...
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