Towards Geo-Context Aware IoT Data Distribution

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.

Publication
Service-Oriented Computing – ICSOC 2019 Workshops
Dr. Jonathan Hasenburg
Dr. Jonathan Hasenburg
Software Architect

I did my PhD on optimizing data distribution for IoT applications with a heavy focus on pub/sub systems that are, among others, based on MQTT. Now I am working for RIO (Bosch Group) as a Software Architect on topics concerning any part of our Home Connect Plus offering with a focus on the Cloud backend and Matter.