An energy-efficient adaptive sampling scheme for wireless sensor networks

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    Abstract

    Wireless sensor networks are new monitoring platforms. To cope with their resource constraints, in terms of energy and bandwidth, spatial and temporal correlation in sensor data can be exploited to find an optimal sampling strategy to reduce number of sampling nodes and/or sampling frequencies while maintaining high data quality. Majority of existing adaptive sampling approaches change their sampling frequency upon detection of (significant) changes in measurements. There are, however, applications that can tolerate (significant) changes in measurements as long as measurements fall within a specific range. Using existing adaptive sampling approaches for these applications is not energy-efficient. Targeting this type of applications, in this paper, we propose an energy-efficient adaptive sampling technique ensuring a certain level of data quality. We compare our proposed technique with two existing adaptive sampling approaches in a simulation environment and show its superiority in terms of energy efficiency and data quality.
    Original languageUndefined
    Title of host publicationEighth IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, IEEE ISSNIP 2013
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Pages231-236
    Number of pages6
    ISBN (Print)978-1-4673-5499-8
    DOIs
    Publication statusPublished - 5 Apr 2013
    Event8th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2013 - Melbourne, Australia
    Duration: 2 Apr 20135 Apr 2013
    Conference number: 8

    Publication series

    Name
    PublisherIEEE Computer Society

    Conference

    Conference8th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2013
    Abbreviated titleISSNIP
    CountryAustralia
    CityMelbourne
    Period2/04/135/04/13

    Keywords

    • IR-86814
    • METIS-297740
    • EWI-23532

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