Abstract
Nowadays, Wireless Sensors Network (WSN) sensors lose accuracy in their measurements. This address two problems that have a direct influence on monitoring and control that WSN performs. The first one is data collected by the WSN from inaccurate sensors. And secondly, high maintenance cost of WSN if it is not known exactly which sensors are inaccurate. In this paper we propose a stochastic model using Blockchain to predict the degradation of sensor accuracy, knowing its current state. The expected results are the prediction with a high degree of accuracy that sensors will be inaccurate in the near future in order to perform proper maintenance and maintain data quality.
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This paper has been funded by the European Regional Development Fund (FEDER) within the framework of the Interreg program V-A Spain-Portugal 2014-2020 (PocTep) grant agreement No 0123_IOTEC_3_E (project IOTEC).
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Casado-Vara, R. (2019). Stochastic Approach for Prediction of WSN Accuracy Degradation with Blockchain Technology. In: Rodríguez, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-319-99608-0_58
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DOI: https://doi.org/10.1007/978-3-319-99608-0_58
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