Abstract
The future applications include a multi-technology based paradigm, which includes wireless sensor network, Internet of things and cloud computing to be synchronized for the accurate and real-time analytics. The applications client will be a smart phone user who will request the wireless sensor network data or key data points of sensors through the universal data centers. This paper highlights the problem identification of the sensor data quality and reliability aspects by proposing a model for sensor data quality enhancement (SDQE) by synchronizing the priority of critical data with time factor. The data request prediction based optimization is proposed to maximize the usefulness factor which is the measure of sensor data quality as reliability and minimize the energy consumption. The model is simulated in numerical computing platform and found acceptable response.
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Prathiba, B., Jaya Sankar, K., Sumalatha, V. (2019). SDQE: Sensor Data Quality Enhancement in Reconfigurable Network for Optimal Reliability. In: Silhavy, R. (eds) Cybernetics and Algorithms in Intelligent Systems . CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 765. Springer, Cham. https://doi.org/10.1007/978-3-319-91192-2_35
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DOI: https://doi.org/10.1007/978-3-319-91192-2_35
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