Abstract
In the Internet of Things, the relevance of data often depends on the geographic context of data producers and consumers. Today’s data distribution services, however, mostly focus on data content and not on geo-context, which would benefit many scenarios greatly. In this paper, we propose to use the geo-context information associated with devices to control data distribution. We define what geo-context dimensions exist and compare our definition with concepts from related work. By example, we discuss how geo-contexts enable new scenarios and evaluate how they also help to reduce unnecessary data distributions.
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Notes
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E.g., this is done by the open data initiative of the German Meteorological Office: https://opendata.dwd.de/.
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Wireless Emergency Alerts - https://www.fcc.gov/consumers/guides/wireless-emergency-alerts-wea.
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A Geofence is a virtual fences surrounding a defined geographical area. As a usage example, Reclus and Drouard describe a scenario in which such fences are used to notify factory workers about approaching trucks [18].
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Hasenburg, J., Bermbach, D. (2020). Towards Geo-Context Aware IoT Data Distribution. In: Yangui, S., et al. Service-Oriented Computing – ICSOC 2019 Workshops. ICSOC 2019. Lecture Notes in Computer Science(), vol 12019. Springer, Cham. https://doi.org/10.1007/978-3-030-45989-5_9
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