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Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 561403
Title An Environmental Sensor Data Suite Using the OGC SensorThings API
Author(s) Schaaf, Hylke Van Der; Moßgraber, Jürgen; Grellet, Sylvain; Beaufils, Mickaël; Schleidt, Kathi; Usländer, Thomas
Source In: International Symposium on Environmental Software Systems (ISESS 2020) Wageningen : Springer (Environmental Software Systems. Data Science in Action ) - ISBN 9783030398149 - p. 228 - 241.
DOI https://doi.org/10.1007/978-3-030-39815-6_22
Department(s) Wageningen Multimedia Research Centre
Publication type Peer reviewed book chapter
Publication year 2020
Abstract In many application domains sensor data contributes an important part to the situation awareness required for decision making. Examples range from environmental and climate change situations to industrial production processes. All these fields need to aggregate and fuse many data sources, the semantics of the data needs to be understood and the results must be presented to the decision makers in an accessible way. This process is already defined as the “sensor to decision chain” [11] but which solutions and technologies can be proposed for implementing it?

Since the Internet of Things (IoT) is rapidly growing with an estimated number of 30 billion sensors in 2020, it offers excellent potential to collect time-series data for improving situational awareness. The IoT brings several challenges: caused by a splintered sensor manufacturer landscape, data comes in various structures, incompatible protocols and unclear semantics. To tackle these challenges a well-defined interface, from where uniform data can be queried, is necessary. The Open Geospatial Consortium (OGC) has recognized this demand and developed the SensorThings API (STA) standard, an open, unified way to interconnect devices throughout the IoT. Since its introduction in 2016, it has shown to be a versatile and easy to use standard for exchanging and managing sensor data.

This paper proposes the STA as the central part for implementing the sensor to decision chain. Furthermore, it describes several projects that successfully implemented the architecture and identifies open issues with the SensorThings API that, if solved, would further improve the usability of the API.
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