Quality assurance for data acquisition in error prone WSNs

  • Authors:
  • Sunisa Chobsri;Watinee Sumalai;Wipawee Usaha

  • Affiliations:
  • School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand;School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand;School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand

  • Venue:
  • ICUFN'09 Proceedings of the first international conference on Ubiquitous and future networks
  • Year:
  • 2009

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Abstract

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 readings are real-valued, we formulate the data acquisition problem as a continuous-state partially observable Markov Decision Process (POMDP). To solve the continuous-state POMDP, the fitted value iteration (FVI) is applied to find a sensor selection scheme. Numerical results show that FVI can achieve high average long-term reward and provide probabilistic guarantees on the query result more often when compared to other algorithms.