Capítulo de Libro

Towards a Distributed Record of Measurement Adapters Powered by Blockchain Technology

Diván, Mario José Diván Icon; Sánchez Reynoso, María Laura Icon

Fecha

2022

Editorial

Springer Nature Switzerland AG

Revista

Título del libro

Transformations Through Blockchain Technology: The New Digital Revolution

Nombre del evento

Fecha del evento

Institución organizadora

ISSN

eISSN

ISBN

978-3-030-93343-2

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

The measurement process constitutes a key asset for supporting the decision-making process. The possibility of implementing a data-driven decision-making strategy is essential in different areas, contemplating different restrictions according to the field (e.g., the processing time in health and finance have different tolerance and latency). The Internet-of-Things (IoT) has emerged as a low-cost, cheap, and certain alternative to increase the coverage area and resolution in a lot of monitoring applications. However, the IoT environment is characterized by the sensors’ heterogeneity. The Measurement Adapter (MA) is a software located at mobile devices connected to sensors directly (e.g., Raspberry Pi), responsible for transforming raw measures to a homogeneous measurement schema based on a measurement ontology, fostering interoperability. The transformation is based on a measurement project definition, where the experimental design is described following the measurement ontology. An MA could transmit measures directly or indirectly. On the one hand, it could send measures to the cloud using its connection. On the other hand, it could collaborate with other adapters informing their measures when they lost the connectivity. Currently, adapters depend on a unified record available on the cloud to know the complete list of adapters involved in the data collecting strategy. In this proposal, a blockchain-based distributed record of measurement adapters is proposed for avoiding such a dependence. This would allow improving the reliability and collaboration schema in real-time measurement strategies applied to IoT-based data collecting systems. An open-source library implementing the described functionality is outlined.

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