Development and Implementation of an OpenSource IoT Platform, Network and Data Warehouse for Privacy-Compliant Applications in Research and Industry

In the scientific field, data acquisition using commercial or self-developed sensors is a necessity for many research activities. Data security and data privacy are important requirements in all types of IoT applications, especially in the medical context. IoTree42 is a powerful, OpenSource platform...

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Published in:Current Directions in Biomedical Engineering
Main Authors: Stadler Sebastian, Borrero Eduardo Romero, Zauner Johannes, Hanshans Christian
Format: Article
Language:English
Published: De Gruyter 2021-10-01
Subjects:
Online Access:https://doi.org/10.1515/cdbme-2021-2129
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author Stadler Sebastian
Borrero Eduardo Romero
Zauner Johannes
Hanshans Christian
author_facet Stadler Sebastian
Borrero Eduardo Romero
Zauner Johannes
Hanshans Christian
author_sort Stadler Sebastian
collection DOAJ
container_title Current Directions in Biomedical Engineering
description In the scientific field, data acquisition using commercial or self-developed sensors is a necessity for many research activities. Data security and data privacy are important requirements in all types of IoT applications, especially in the medical context. IoTree42 is a powerful, OpenSource platform that closes the gap between cost-efficiency, the ease of use and digital sovereignty. The flexible and user-friendly design makes the platform ideal for the originally conceived research context. Nevertheless, it can be used for smaller budget-oriented setups and industrial applications with thousands of sensors and actuators likewise. The platform was developed with security in mind by minimizing interfaces and the use of stable software components and transport protocols. IoTree42 utilizes lightweight OpenSource software cast into a flexible backend, allowing the deployment not only on full-fledged servers but also on single board computers like the Raspberry Pi. Data is transmitted with low overhead via MQTT, a robust protocol optimized for machine to machine communication. The transmission technology between all components is freely selectable. Besides data acquisition, IoTree42 enables control of actuators and automation through interfaces with visual programming tools. This allows for remote interventions without requiring prior programming experience. The incoming data can conveniently be visualized in dashboards or easily be exported for further analysis. The network consists of a central server and satellites (gateways) arranged in a star topology. Sensors and actuators connect to the gateway. The initial setup of the server and the gateways is automated, well documented, and can be done within minutes. Thanks to the increasing usage and the contribution of the community, the pool of code examples for sensors is growing and lowers the entry hurdle for users without programming background. IoTree42 is a fast-growing, multi-user, hardware and cloud agnostic, easy to deploy, privacy compliant and competitive solution compared to commercial IoT alternatives.
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spelling doaj-art-e2f16ff19b6b4fa4b1de04bf32ea55d32025-08-19T22:11:32ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042021-10-017250751010.1515/cdbme-2021-2129Development and Implementation of an OpenSource IoT Platform, Network and Data Warehouse for Privacy-Compliant Applications in Research and IndustryStadler Sebastian0Borrero Eduardo Romero1Zauner Johannes2Hanshans Christian3Hochschule München University of Applied Sciences,Munich, GermanyHochschule München University of Applied Sciences,Munich, GermanyHochschule München University of Applied Sciences,Munich, GermanyHochschule München University of Applied Sciences, Lothstraße 34,Munich, GermanyIn the scientific field, data acquisition using commercial or self-developed sensors is a necessity for many research activities. Data security and data privacy are important requirements in all types of IoT applications, especially in the medical context. IoTree42 is a powerful, OpenSource platform that closes the gap between cost-efficiency, the ease of use and digital sovereignty. The flexible and user-friendly design makes the platform ideal for the originally conceived research context. Nevertheless, it can be used for smaller budget-oriented setups and industrial applications with thousands of sensors and actuators likewise. The platform was developed with security in mind by minimizing interfaces and the use of stable software components and transport protocols. IoTree42 utilizes lightweight OpenSource software cast into a flexible backend, allowing the deployment not only on full-fledged servers but also on single board computers like the Raspberry Pi. Data is transmitted with low overhead via MQTT, a robust protocol optimized for machine to machine communication. The transmission technology between all components is freely selectable. Besides data acquisition, IoTree42 enables control of actuators and automation through interfaces with visual programming tools. This allows for remote interventions without requiring prior programming experience. The incoming data can conveniently be visualized in dashboards or easily be exported for further analysis. The network consists of a central server and satellites (gateways) arranged in a star topology. Sensors and actuators connect to the gateway. The initial setup of the server and the gateways is automated, well documented, and can be done within minutes. Thanks to the increasing usage and the contribution of the community, the pool of code examples for sensors is growing and lowers the entry hurdle for users without programming background. IoTree42 is a fast-growing, multi-user, hardware and cloud agnostic, easy to deploy, privacy compliant and competitive solution compared to commercial IoT alternatives.https://doi.org/10.1515/cdbme-2021-2129iot platformmqttopensourceinternet of thingsdata privacydigital sovereigntypseudonymizationconnected sensorssensor applicationscientific automationarduinoespraspberry pidiylaboratory automationlinuxvisual programming
spellingShingle Stadler Sebastian
Borrero Eduardo Romero
Zauner Johannes
Hanshans Christian
Development and Implementation of an OpenSource IoT Platform, Network and Data Warehouse for Privacy-Compliant Applications in Research and Industry
iot platform
mqtt
opensource
internet of things
data privacy
digital sovereignty
pseudonymization
connected sensors
sensor application
scientific automation
arduino
esp
raspberry pi
diy
laboratory automation
linux
visual programming
title Development and Implementation of an OpenSource IoT Platform, Network and Data Warehouse for Privacy-Compliant Applications in Research and Industry
title_full Development and Implementation of an OpenSource IoT Platform, Network and Data Warehouse for Privacy-Compliant Applications in Research and Industry
title_fullStr Development and Implementation of an OpenSource IoT Platform, Network and Data Warehouse for Privacy-Compliant Applications in Research and Industry
title_full_unstemmed Development and Implementation of an OpenSource IoT Platform, Network and Data Warehouse for Privacy-Compliant Applications in Research and Industry
title_short Development and Implementation of an OpenSource IoT Platform, Network and Data Warehouse for Privacy-Compliant Applications in Research and Industry
title_sort development and implementation of an opensource iot platform network and data warehouse for privacy compliant applications in research and industry
topic iot platform
mqtt
opensource
internet of things
data privacy
digital sovereignty
pseudonymization
connected sensors
sensor application
scientific automation
arduino
esp
raspberry pi
diy
laboratory automation
linux
visual programming
url https://doi.org/10.1515/cdbme-2021-2129
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AT zaunerjohannes developmentandimplementationofanopensourceiotplatformnetworkanddatawarehouseforprivacycompliantapplicationsinresearchandindustry
AT hanshanschristian developmentandimplementationofanopensourceiotplatformnetworkanddatawarehouseforprivacycompliantapplicationsinresearchandindustry