• Accurate Graph Filtering in Wireless Sensor Networks 

      Ben Saad, Leila; Beferull-Lozano, Baltasar (Peer reviewed; Journal article, 2020)
      Wireless sensor networks (WSNs) are considered as a major technology enabling the Internet-of-Things (IoT) paradigm. The recent emerging graph signal processing field can also contribute to enabling the IoT by providing ...
    • Adaptive Medium Access Control for Distributed Processing in Wireless Sensor Networks 

      Asensio-Marco, César; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2018)
    • Autonomous mooring towards autonomous maritime navigation and offshore operations 

      Jha, Ajit; Subedi, Dipendra; Løvsland, Per-Ove; Tyapin, Ilya; Cenkeramaddi, Linga Reddy; Beferull-Lozano, Baltasar; Hovland, Geir (Chapter, 2020)
      Bollard is a vital component of mooring system. It is the anchor point for mooring ropes to be fixed in order to secure the vessel or ship. An algorithm that translates the segmented mask of bollard output from masked R-CNN ...
    • Channel Gain Cartography via Mixture of Experts 

      Lopez Ramos, Luis Miguel; Teganya, Yves; Beferull-Lozano, Baltasar; Kim, Seung-Jun (Journal article; Peer reviewed, 2020)
    • Consensus-Based Distributed State Estimation of Biofilm in Reverse Osmosis Membranes by WSNs 

      Alonso, Daniel; Asensio-Marco, César; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2017)
      The appearance of biofilm has become a serious problem in many reverse osmosis based systems such as the ones found in water treatment and desalination plants. In these systems, the use of traditional techniques such as ...
    • Cross-layer MAC Protocol for Unbiased Average Consensus under Random Interference 

      Asensio-Marco, César; Alonso-Román, Daniel; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2018)
      Wireless Sensor Networks have been revealed as a powerful technology to solve many different problems through sensor nodes cooperation. One important cooperative process is the so-called average gossip algorithm, which ...
    • Cyber-Physical Systems for Smart Water Networks: A Review 

      Bhardwaj, Jyotirmoy; Krishnan, Joshin Parakkulangarayil; Marin, Diego F. Larios; Beferull-Lozano, Baltasar; Cenkeramaddi, Linga Reddy; Harman, Christopher Peter (Peer reviewed; Journal article, 2021)
      There is a growing demand to equip Smart Water Networks (SWN) with advanced sensing and computation capabilities in order to detect anomalies and apply autonomous event-triggered control. Cyber-Physical Systems (CPSs) have ...
    • Decentralized subspace projection in large networks 

      Ghari, Siavash Mollaebrahim; Asensio-Marco, César; Romero, Daniel; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018)
    • Dynamic network identification from non-stationary vector autoregressive time series 

      Lopez-Ramos, Luis M.; Romero, Daniel; Zaman, Bakht; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018)
    • Energy Efficient Consensus Over Directed Graphs 

      Asensio-Marco, César; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018)
      Consensus algorithms are iterative methods that represent a basic building block to achieve superior functionalities in increasingly complex sensor networks by facilitating the implementation of many signal-processing tasks ...
    • Experimental Validation for Spectrum Cartography using Adaptive Multi-kernels 

      Idsøe, Henning; Hamid, Mohamed; Cenkeramaddi, Linga Reddy; Jordbru, Thomas; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2017)
    • Fast Distributed Subspace Projection via Graph Filters 

      Weerasinghe, Thilina Nuwan; Romero, Daniel; Asensio-Marco, César; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018)
      A significant number of linear inference problems in wireless sensor networks can be solved by projecting the observed signal onto a given subspace. Decentralized approaches avoid the need for performing such an operation ...
    • Fast Graph Filters for Decentralized Subspace Projection 

      Romero, Daniel; Ghari, Siavash Mollaebrahim; Beferull-Lozano, Baltasar; Marco, Cesar Asensio (Peer reviewed; Journal article, 2020)
      A number of inference problems with sensor networks involve projecting a measured signal onto a given subspace. In existing decentralized approaches, sensors communicate with their local neighbors to obtain a sequence of ...
    • Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models 

      Cardenas, Juan Diego; Elnourani, Mohamed Gafar Ahmed; Beferull-Lozano, Baltasar (Peer reviewed; Journal article, 2022)
      Aquaponic systems provide a reliable solution to grow vegetables while cultivating fish (or other aquatic organisms) in a controlled environment. The main advantage of these systems compared with traditional soil-based ...
    • Joint Topology and Radio Resource Optimization for Device-to-Device Based Mobile Social Networks 

      Hamid, Mohamed; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018)
      In this paper, we consider a joint topology and radio resource optimization for device-to-device (D2D) based mobile social networks. The considered social network is an interest based which is modeled as a d -intersection ...
    • Localization-Free Power Cartography 

      Teganya, Yves; Lopez-Ramos, Luis M.; Romero, Daniel; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018)
      Spectrum cartography constructs maps of metrics such as channel gain or received signal power across a geographic area of interest using measurements of spatially distributed sensors. Applications of these maps include ...
    • Location-Free Spectrum Cartography 

      Teganya, Yves; Romero, Daniel; Lopez-Ramos, Luis M.; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2019)
    • Low-complexity detection for uplink massive MIMO SCMA systems 

      Sharma, Sanjeev; Deka, Kuntal; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2020)
    • Online Edge Flow Imputation on Networks 

      Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar; Isufi, Elvin (Peer reviewed; Journal article, 2022)
      An online algorithm for missing data imputation for networks with signals defined on the edges is presented. Leveraging the prior knowledge intrinsic to real-world networks, we propose a bi-level optimization scheme that ...
    • Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs 

      Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2022)
      Extracting causal graph structures from multivariate time series, termed topology identification, is a fundamental problem in network science with several important applications. Topology identification is a challenging ...