Measurement project interoperability for real-time data gathering systems

Abstract

The Internet-of-Things devices have allowed the increment of the Spatiotemporal resolution in the Real-time Data Gathering Systems. However, this has increased the complexity due to the heterogeneity of sensors. Thus, it is important to know how data can be understood aware of its context at the edge. Also, a transversal perspective is expected for aligning and reusing as many sensors as possible (based on an experimental design). Because of the hardware limitations, the experimental design should be communicated as simple, integrated, and consistent as possible under single content fostering the projects’ complementarity. This work describes a strategy for defining and communicating a set of measurement projects, following a conceptual hierarchy derived from a measurement ontology. Every project definition is obtained from the user requirements following a well-established strategy. BriefPD is introduced as a data interchange format that is self-contained, partially verifiable (through a Merkle tree insight), consistent, and does not require the use of tags to determine the content meaning. BriefPD generates a project definition in 6.27 ms (1.9 times quicker than JSON-equivalent), consuming 20.39% of JSON’s size. A Github library is provided with the reference implementation jointly with a ‘Code Ocean’ capsule for reproducing the simulation results.