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Stochastic Approach for Prediction of WSN Accuracy Degradation with Blockchain Technology

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Book cover Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference (DCAI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 801))

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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Acknowledgments

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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Authors and Affiliations

  1. BISITE Digital Innovation Hub, University of Salamanca, Edificio Multiusos I+D+i, 37007, Salamanca, Spain

    Roberto Casado-Vara

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  1. Roberto Casado-Vara
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Correspondence to Roberto Casado-Vara .

Editor information

Editors and Affiliations

  1. BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Sara Rodríguez

  2. BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Javier Prieto

  3. GECAD - Instituto Superior de Engenharia, Porto, Portugal

    Pedro Faria

  4. Department of Computer Science and Production Management, University of Zielona Góra, Zielona Góra, Poland

    Sławomir Kłos

  5. Computing Science and Artificial Intelligence, Rey Juan Carlos University, Móstoles, Madrid, Spain

    Alberto Fernández

  6. Basque Center for Applied Mathematics, Bilbao, Spain

    Santiago Mazuelas

  7. Basque Center for Applied Mathematics, Universidad de Alcalá, Alcalá de Henares, Spain

    M. Dolores Jiménez-López

  8. Departamento de Informática y Automática, University of Salamanca, Salamanca, Spain

    María N. Moreno

  9. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Elena M. Navarro

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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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