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).

Recent Submissions

  • A low-cost and do-it-yourself device for pumping monitoring in deep aquifers 

    Aliagas, Carles; Pérez Foguet, Agustí; Meseguer Pallarès, Roc; Millán Marco, Pere; Molina Clemente, Carlos Maria (2022-11)
    Article
    Open Access
    Water 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 

    Miquel Solé, Joan; Pueyo Centelles, Roger; Freitag, Fèlix; Meseguer Pallarès, Roc (Institute of Electrical and Electronics Engineers (IEEE), 2022-10-26)
    Article
    Open Access
    LoRa 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 

    Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2022-08-03)
    Article
    Open Access
    Air 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 

    Roura Salietti, Mireya; Flores Morcillo, Juan; Franquesa Griso, David; Navarro Moldes, Leandro (Asociación para el Progreso de las Comunicaciones (APC), 2021)
    Part of book or chapter of book
    Open Access
    Across 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 

    López, Emiliano; Vionnet, Carlos; Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge; Contini, Guillermo; Prodolliet, Jorge; Maiztegui, José (2022-09-09)
    Article
    Open Access
    The 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 

    Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Elsevier, 2022-09)
    Article
    Restricted access - publisher's policy
    The 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 

    Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2022-07)
    Article
    Open Access
    Today'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 

    Freitag, Fèlix; Vilchez Blanco, Pedro; Wei, Lu; Liu, Chun-Hung; Selimi, Mennan; Koutsopoulos, Iordanis (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    There 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 

    Freitag, Fèlix; Vilchez Blanco, Pedro; Wei, Lu; Liu, Chun-Hung; Selimi, Mennan (Springer, 2022)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Federated 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 

    Llisterri Giménez, Nil; Monfort Grau, Marc; Pueyo Centelles, Roger; Freitag, Fèlix (2022-02-14)
    Article
    Open Access
    Recent 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 

    Roura Salietti, Mireya; Franquesa Griso, David; Navarro Moldes, Leandro; Meseguer Pallarès, Roc (2021)
    Conference report
    Open Access
    The 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 

    Ibraimi, Lenart; Selimi, Mennan; Freitag, Fèlix (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Inference 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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