Abstract
Wireless Sensor Networks (WSN) are commonly used to collect observations of real-world phenomena at regular time intervals. Generally, sensor nodes rely on limited power sources and some studies indicate that the main source of energy consumption is related to data transmission. In this paper, we propose an approach to reduce data transmissions in sensor nodes based on sensor data dispersion analysis. This approach aims to avoid transmitting measurements whose values present low dispersion. Simulations were carried out in the Castalia Simulator and the results were promising in reducing data transmissions while maintaining data accuracy and low energy consumption.
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Oliveira, S., Kniess, J., Marques, V. (2019). A Method Based on Dispersion Analysis for Data Reduction in WSN. In: Miani, R., Camargos, L., Zarpelão, B., Rosas, E., Pasquini, R. (eds) Green, Pervasive, and Cloud Computing. GPC 2019. Lecture Notes in Computer Science(), vol 11484. Springer, Cham. https://doi.org/10.1007/978-3-030-19223-5_6
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DOI: https://doi.org/10.1007/978-3-030-19223-5_6
Publisher Name: Springer, Cham
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