Predictive data reduction in wireless sensor networks using selective filtering

D.J. McCorrie, E. Gaura, K. Burnham, N. Poole

    Research output: Contribution to conferenceOther

    Abstract

    In a wireless sensor network, transmissions consume a large portion of a node's energy budget. Data reduction is generally acknowledged as an effective means to reduce the number of network transmissions, thereby increasing the overall network lifetime. This paper builds on the Spanish Inquisition Protocol, to further reduce transmissions in a single-hop wireless sensor system aimed at a gas turbine engine exhaust gas temperature (EGT) monitoring application. A new method for selective filtering of sensed data based on state identification has been devised for accurate state predictions. Low transmission rates are achieved even when significant temperature step changes occur. A simulator was implemented to generate flight temperature profiles similar to those encountered in real-life, which enabled tuning and evaluation of the algorithm. The results, summarized over 280 simulated flights of variable duration (from approximately 58 minutes to 14 hours) show an average reduction in the number of transmissions by 95%, 99.8% and 91% in the take-off, cruise and landing phases respectively, compared to transmissions encountered by a sense-and-send system sampling at the same rate. The algorithm generates an average error of 0:11 ∓ 0:04 °C over a 927 °C range. Copyright © 2012 SciTePress.
    Original languageEnglish
    Pages165-170
    Number of pages6
    Publication statusPublished - 2012
    EventInternational Conference on Informatics in Control, Automation and Robotics - Rome, Italy
    Duration: 28 Jul 201231 Jul 2012
    Conference number: 9

    Conference

    ConferenceInternational Conference on Informatics in Control, Automation and Robotics
    CountryItaly
    CityRome
    Period28/07/1231/07/12

    Bibliographical note

    cited By 0

    Keywords

    • Average errors
    • Change detection
    • Energy budgets
    • Monitoring applications
    • Network lifetime
    • Network transmission
    • Optimization problems
    • Selective filtering
    • Simulated flight
    • Single-hop
    • State identification
    • State prediction
    • Step changes
    • Temperature profiles
    • Transmission rates
    • Wireless sensor system, Algorithms
    • Data reduction
    • Exhaust systems (engine)
    • Information science
    • Signal processing
    • Signal reconstruction
    • Robotics

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  • Cite this

    McCorrie, D. J., Gaura, E., Burnham, K., & Poole, N. (2012). Predictive data reduction in wireless sensor networks using selective filtering. 165-170. International Conference on Informatics in Control, Automation and Robotics, Rome, Italy.