Recent Submissions

  • The effects of weight quantization on online federated learning for the IoT: a case study 

    Llisterri Giménez, Nil; Lee, Junkyu; Freitag, Fèlix; Vandierendonck, Hans (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-04)
    Article
    Open Access
    Many weight quantization approaches were explored to save the communication bandwidth between the clients and the server in federated learning using high-end computing machines. However, there is a lack of weight quantization ...
  • Dataset for anomaly detection in a production wireless mesh community network 

    Cerdà Alabern, Llorenç; Iuhasz, Gabriel (Elsevier, 2023-08)
    Article
    Open Access
    Wireless community networks, WCN, have proliferated around the world. Cheap off-the-shelf WiFi devices have enabled this new network paradigm where users build their own network infrastructure in a do-it-yourself alternative ...
  • Embedded federated learning over a LoRa mesh network 

    Llisterri i Giménez, Nil; Miquel Solé, Joan; Freitag, Fèlix (Elsevier, 2023-06)
    Article
    Open Access
    In on-device training of machine learning models on microcontrollers a neural network is trained on the device. A specific approach for collaborative on-device training is federated learning. In this paper, we propose ...
  • Determining real-time communication feasibility in IoT systems supported by LoRaWAN 

    Micheletto, Matías; Zabala, Paula; Ochoa, Sergio F.; Meseguer Pallarès, Roc; Santos, Rodrigo (Multidisciplinary Digital Publishing Institute (MDPI), 2023-04-26)
    Article
    Open Access
    LoRaWAN is a long range and low power protocol devised for connecting devices under the Internet of Things (IoT) paradigm. This protocol was not conceived to support real-time message delivery; therefore, it is not always ...
  • LoRaTRUST: blockchain-enabled trust and accountability service for IoT data 

    Vilchez Blanco, Pedro; Jacques, Saulo; Freitag, Fèlix; Meseguer Pallarès, Roc (2023-04-25)
    Article
    Open Access
    Environmental monitoring is a growing application of the Internet of Things. The low cost of the sensor nodes, LoRa connectivity, and increased awareness of environmental issues have motivated many citizens to participate ...
  • Temporal pattern-based denoising and calibration for low-cost sensors in IoT monitoring platforms 

    Allka, Xhensilda; Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2023-01-25)
    Article
    Open Access
    The introduction of low-cost sensors (LCSs) in air quality Internet of Things (IoT) monitoring platforms presents the challenge of improving the quality of the data that these sensors provide. In this article, we propose ...
  • Anomaly detection for fault detection in wireless community networks using machine learning 

    Cerdà Alabern, Llorenç; Iuhasz, Gabriel; Gemmi, Gabriele (Elsevier, 2023-03-15)
    Article
    Open Access
    Machine learning has received increasing attention in computer science in recent years and many types of methods have been proposed. In computer networks, little attention has been paid to the use of ML for fault detection, ...
  • Reducing operational expenses of lorawan-based internet of remote things applications 

    Finochietto, José Mariano; Santos, Rodrigo; Ochoa, Sergio F.; Meseguer Pallarès, Roc (Multidisciplinary Digital Publishing Institute (MDPI), 2022-10-13)
    Article
    Open Access
    LoRaWAN has become the most widely used low-power wide-area network technology to implement monitoring solutions based on the Internet of remote things (IoRT) paradigm. Typically, these solutions interconnect remote sensing ...
  • Sampling trade-offs in duty-cycled systems for air quality low-cost sensors 

    Ferrer Cid, Pau; García Calvete, Julio; Main Nadal, Aina; Ye, Zhe; Barceló Ordinas, José María; García Vidal, Jorge (Multidisciplinary Digital Publishing Institute (MDPI), 2022-05-23)
    Article
    Open Access
    The use of low-cost sensors in conjunction with high-precision instrumentation for air pollution monitoring has shown promising results in recent years. One of the main challenges for these sensors has been the quality of ...
  • Raw data collected from NO2, O3 and NO air pollution electrochemical low-cost sensors 

    Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Elsevier, 2022-12)
    Article
    Open Access
    Recently, the monitoring of air pollution by means of lowcost sensors has become a growing research field due to the study of techniques based on machine learning to improve the sensors’ data quality. For this purpose, ...
  • 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 ...

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