Projects / Programmes source: ARIS

Autonomic edge computing for air quality monitoring

Research activity

Code Science Field Subfield
2.07.05  Engineering sciences and technologies  Computer science and informatics  Information systems - software 

Code Science Field
1.02  Natural Sciences  Computer and information sciences 
smart building, blockchain, edge computing, semantic Web services, graph optimization, network modeling, machine learning
Evaluation (rules)
source: COBISS
Researchers (13)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  04967  PhD Andrej Brodnik  Computer intensive methods and applications  Researcher  2020 - 2023  444 
2.  36182  PhD Michael David Burnard  Forestry, wood and paper technology  Researcher  2020 - 2023  145 
3.  51616  PhD Balazs David  Computer science and informatics  Researcher  2020 - 2023  60 
4.  51617  PhD Laszlo Hajdu  Computer science and informatics  Researcher  2020 - 2023  38 
5.  20243  PhD Branko Kavšek  Computer intensive methods and applications  Researcher  2020 - 2023  132 
6.  37937  PhD Tilen Knaflič  Physics  Researcher  2021 - 2023  19 
7.  50985  PhD Miklos Kresz  Computer science and informatics  Researcher  2020 - 2023  110 
8.  35055  Lea Legan  Chemistry  Researcher  2022 - 2023  143 
9.  51811  PhD Michael Mrissa  Computer science and informatics  Head  2020 - 2023  68 
10.  57047  Marina Paldauf  Computer science and informatics  Researcher  2023 
11.  35834  PhD Klara Retko  Chemistry  Researcher  2022  129 
12.  28079  PhD Polonca Ropret  Chemistry  Researcher  2020 - 2023  277 
13.  36213  PhD Aleksandar Tošić  Computer science and informatics  Researcher  2020 - 2023  58 
Organisations (3)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  2316  Institute for the protection of Cultural Heritage of Slovenia  Ljubljana  1423215  3,686 
2.  2790  University of Primorska, Faculty of mathematics, Natural Sciences and Information Technologies  Koper  1810014009  16,842 
3.  3770  InnoRenew CoE Renewable Materials and Healthy Environments Research and Innovation Centre of Excellence  Izola  7233817000  2,641 
Reducing the environmental impact of buildings is a top European priority and is highlighted in the sustainable development goals of the United Nations. To do so, we typically equip buildings with Wireless Sensor Networks (WSNs) to report the performance of building elements, optimise energy consumption and maintenance, improve the well-being of building occupants and inform future building design. Equipped buildings are then called smart buildings because they are able to self-assess and optimize their performance. Typical approaches to smart buildings rely on cloud facilities for data storage and processing and on autonomic computing to manage buildings along their life cycle (conception, construction, use, and end of life). However, these approaches present several drawbacks: dependency to cloud providers, heavy network use, high network latency, privacy and security concerns. Recently, we have witnessed a drastic increase of sensor integration into embedded devices. This evolution has driven researchers to reconsider typical cloud-based approaches and to distribute data and processes over the network, a concept called edge or fog computing. Edge computing solutions present multiple advantages. They optimize network usage, provide dynamic network configuration and low latency response to network changes, they facilitate data management, offer possibility for distributed on-site data processing and preserve independence from cloud providers. In this project, we look to edge computing to take advantage of the new generation of WSN devices and reduce the environmental cost of building monitoring solutions. More specifically, we integrate graph and infection models and distributed data mining into a decentralized service-oriented framework to implement dynamic self-configuring networks. We demonstrate the applicability of our work with a set of pilot buildings of diverse types (public and private), geographical areas (north, west, central and eastern Europe), living conditions and usages (residential and non-residential).
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