SensIoT : An Extensible and General Internet of Things Monitoring Framework





Faculty/Professorship: Communication Services and Networks  ; University Library  ; Computing Centre  
Author(s): Großmann, Marcel  ; Illig, Steffen  ; Matějka, Cornelius 
Title of the Journal: Wireless communications and mobile computing
ISSN: 1530-8677
Publisher Information: London : Hindawi
Year of publication: 2019
Volume: 2019
Pages: 1-15
Language(s): English
Remark: 
Zweitveröffentlichung der Verlagsversion am 08.03.2021
Licence: Creative Commons - CC BY - Attribution 4.0 International 
DOI: 10.1155/2019/4260359
Abstract: 
SensIoT is an open-source sensor monitoring framework for the Internet of Things, which utilizes proven technologies to enable easy deployment and maintenance while staying flexible and scalable. It closes the gap between highly specialized and, therefore, inflexible sensor monitoring solutions, which are only adjusted to a specific context, and the development of every other solution from scratch. Our framework fits a variety of use cases by providing an easy to set up, extensible, and affordable solution. The development is based on our former published framework MonTreAL, whose goal is to offer an environmental monitoring solution for libraries to guarantee cultural heritage to be conserved and prevented from serious damage, for example, from mold formation in closed stocks. It is a solution with virtualized microservices delivered by a famous container technology called Docker that is solely executable on one or more single board computers like the Raspberry Pi by providing automatic scaling and resilience of all sensor services. For SensIoT we extended the capability of MonTreAL to integrate commodity servers into the cluster to enhance the ease of setup and maintainability on already existing infrastructures. Therefore, we followed the paradigm to distribute microservices on small computing nodes first, thus not utilizing well-known cloud computing concepts. To achieve resilience and fault tolerance we also based our system on a microservice architecture, where the service orchestration is solved by Docker Swarm. As proof of concept, we are able to present our current data collection of the University of Bamberg’s Library that runs our system since autumn 2017. To make our system even better we are working on the integration of other sensor types and better performance management of SD-cards in Raspberry Pis.
SWD Keywords: Open Source ; Docker <Software> ; Internet der Dinge ; Monitoring <Informatik> ; Sensor
Keywords: Open-Source, Sensor, Monitoring Framework, Internet of Things, Docker
DDC Classification: 004 Computer science  
RVK Classification: ST 274   
Peer Reviewed: Ja
International Distribution: Ja
Open Access Journal: Ja
Document Type: Article
URI: https://fis.uni-bamberg.de/handle/uniba/45465
Year of publication: 15. March 2019
Project: Open Access Publizieren

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