TY - GEN
T1 - A FIWARE-based IoT Framework for Smart Water Distribution Management
AU - Panagiotakopoulos, Theodor
AU - Vlachos, Dimitrios P.
AU - Bakalakos, Thanasis V.
AU - Kanavos, Andreas
AU - Kameas, Achilles
N1 - Funding Information:
ACKNOWLEDGEMENT This paper has received funding from the research project DEVOPS, “DevOps competences for Smart Cities” (Project No.: 601015-EPP-1-2018-1-EL-EPPKA2-SSA Erasmus+ Program, KA2: Cooperation for innovation and the exchange of good practices-SSA).
Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/12
Y1 - 2021/7/12
N2 - A key axis of design and implementation of sustainable water management solutions is based on the application of IoT, which enable the deployment of monitoring systems across the water distribution network, facilitate data acquisition in an automated manner and provide a rich set of data. Distributed software architectures are acknowledged as vital to realize smart water management systems, especially in large-scale and complex deployments with heterogeneous interacting entities. Current smart water systems mainly use commercial IoT platforms with only a few researches rooting for open source software solutions. However, both approaches have limitations as the closed APIs of commercial IoT platforms have been accused of hindering open market evolution, while open source solutions lack interoperability and data integration/sharing mechanisms. This paper presents an IoT framework based on FIWARE that aims to realize a highly flexible standards-based open source software solution for the development of smart water systems. We designed an architecture consisting of various FIWARE software components and two dashboard applications. We have also constructed a digital model of a part of a water distribution network and used a simulation dataset to showcase the framework's functionality and data visualization aspects.
AB - A key axis of design and implementation of sustainable water management solutions is based on the application of IoT, which enable the deployment of monitoring systems across the water distribution network, facilitate data acquisition in an automated manner and provide a rich set of data. Distributed software architectures are acknowledged as vital to realize smart water management systems, especially in large-scale and complex deployments with heterogeneous interacting entities. Current smart water systems mainly use commercial IoT platforms with only a few researches rooting for open source software solutions. However, both approaches have limitations as the closed APIs of commercial IoT platforms have been accused of hindering open market evolution, while open source solutions lack interoperability and data integration/sharing mechanisms. This paper presents an IoT framework based on FIWARE that aims to realize a highly flexible standards-based open source software solution for the development of smart water systems. We designed an architecture consisting of various FIWARE software components and two dashboard applications. We have also constructed a digital model of a part of a water distribution network and used a simulation dataset to showcase the framework's functionality and data visualization aspects.
KW - FIWARE
KW - IoT Frameworks
KW - Smart Cities
KW - Smart Water
UR - http://www.scopus.com/inward/record.url?scp=85117502949&partnerID=8YFLogxK
U2 - 10.1109/IISA52424.2021.9555509
DO - 10.1109/IISA52424.2021.9555509
M3 - Conference contribution
AN - SCOPUS:85117502949
T3 - IISA 2021 - 12th International Conference on Information, Intelligence, Systems and Applications
BT - IISA 2021 - 12th International Conference on Information, Intelligence, Systems and Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Information, Intelligence, Systems and Applications, IISA 2021
Y2 - 12 July 2021 through 14 July 2021
ER -
