CNDS - Xarxes de Computadors i Sistemes Distribuïts
Les xarxes comunitàries busquen una xarxa oberta, lliure i neutral aplicant el principi de
reciprocitat a la interconnexió de nodes per la circulació de continguts i serveis. El grup
investiga on Xarxes Comunitàries (Community Networks), Computació en Núvol Comunitària
(Community Clouds) i Xarxes De Sensors Sense Fils Comunitàries (Community Wireless Sensor
Networks).
Collections in this community
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Articles de revista [96]
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Capítols de llibre [17]
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Llibres [2]
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Presentacions [2]
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Ressenyes [1]
Recent Submissions
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A low-cost and do-it-yourself device for pumping monitoring in deep aquifers
(2022-11)
Article
Open AccessWater crises due to climate change, high population growth and increasing demands from industry and agriculture claim for increasing efficiency and universalizing water resources management strategies and techniques. Water ... -
Implementation of a LoRa Mesh library
(Institute of Electrical and Electronics Engineers (IEEE), 2022-10-26)
Article
Open AccessLoRa is a popular communication technology in the Internet of Things (IoT) domain, providing low-power and long-range communications. Most LoRa IoT applications use the LoRaWAN architecture, which builds a star topology ... -
Graph signal reconstruction techniques for IoT air pollution monitoring platforms
(Institute of Electrical and Electronics Engineers (IEEE), 2022-08-03)
Article
Open AccessAir pollution monitoring platforms play a very important role in preventing and mitigating the effects of pollution. Recent advances in the field of graph signal processing have made it possible to describe and analyze air ... -
Reusing computer devices: The social impact and reduced environmental impact of a circular approach
(Asociación para el Progreso de las Comunicaciones (APC), 2021)
Part of book or chapter of book
Open AccessAcross the world there are many more end-user computing devices – including laptops, desktops, mobiles – than citizens; but still some citizens (3.7 billion, according to the ITU)1 cannot effectively participate in society ... -
A low-power IoT device for measuring water table levels and soil moisture to ease increased crop yields
(2022-09-09)
Article
Open AccessThe simultaneous measurement of soil water content and water table levels is of great agronomic and hydrological interest. Not only does soil moisture represent the water available for plant growth but also water table ... -
Data reconstruction applications for IoT air pollution sensor networks using graph signal processing
(Elsevier, 2022-09)
Article
Restricted access - publisher's policyThe analysis of sensor networks for air pollution monitoring is challenging. Recent studies have demonstrated the ability to reconstruct the network measurements with graphs derived from the acquired data, thus describing ... -
Volterra graph-based outlier detection for air pollution sensor networks
(Institute of Electrical and Electronics Engineers (IEEE), 2022-07)
Article
Open AccessToday's air pollution sensor networks pose new challenges given their heterogeneity of low-cost sensors and high-cost instrumentation. Recently, with the advent of graph signal processing, sensor network measurements have ... -
Demo: An experimental environment based on mini-PCs for federated learning research
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessThere is a growing research interest in Federated Learning (FL), a promising approach for data privacy preservation and proximity of training to the network edge, where data is generated. Resource consumption for Machine ... -
Performance evaluation of federated learning over wireless mesh Networks with low-capacity devices
(Springer, 2022)
Part of book or chapter of book
Restricted access - publisher's policyFederated learning is a distributed learning technique in which a machine learning model is trained collaboratively among several nodes. While the privacy preservation of the training data is one of the important promises ... -
On-device training of machine learning models on microcontrollers with federated learning
(2022-02-14)
Article
Open AccessRecent progress in machine learning frameworks has made it possible to now perform inference with models using cheap, tiny microcontrollers. Training of machine learning models for these tiny devices, however, is typically ... -
Circular digital devices: lessons about the social and planetary boundaries
(2021)
Conference report
Open AccessThe digital world can be part of the solution to the coexistence of people and the planet, with large efficiencies gained through digital solutions, but it is part of the problem too, as it requires vast natural resources ... -
BePOCH: Improving federated learning performance in resource-constrained computing devices
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessInference with trained machine learning models is now possible with small computing devices while only a few years ago it was run mostly in the cloud only. The recent technique of Federated Learning offers now a way to do ...
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