Prof. Dr. Javier Prieto
University of Salamanca
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Academic Career Length
18Years (2009-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 January 2018 in Procedia Computer Science
Journal Article
Roberto Casado-VaraJavier Prieto
Fernando De La PrietaJCJuan M. Corchado
Juan M. Corchado
1 March 2020 in Ad Hoc Networks
Journal Article
RARicardo S. Alonso
Ricardo S. Alonso
ISInés Sittón-Candanedo
Inés Sittón-Candanedo
ÓGÓscar García
Óscar García
Javier PrietoSRSara Rodríguez-González
Sara Rodríguez-González
Journal Article
Alfonso Gonzalez-BrionesJavier PrietoFernando De La Prieta
Enrique Herrera-Viedma
Juan CorchadoAt present, the domotization of homes and public buildings is becoming increasingly popular. Domotization is most commonly applied to the field of energy management, since it gives the possibility of managing the consumption of the devices connected to the electric network, the way in which the users interact with these devices, as well as other external factors that influence consumption. In buildings, Heating, Ventilation and Air Conditioning (HVAC) systems have the highest consumption rates. The systems proposed so far have not succeeded in optimizing the energy consumption associated with a HVAC system because they do not monitor all the variables involved in electricity consumption. For this reason, this article presents an agent approach that benefits from the advantages provided by a Multi-Agent architecture (MAS) deployed in a Cloud environment with a wireless sensor network (WSN) in order to achieve energy savings. The agents of the MAS learn social behavior thanks to the collection of data and the use of an artificial neural network (ANN). The proposed system has been assessed in an office building achieving an average energy savings of 41% in the experimental group offices.
1 January 2021 in Neurocomputing
Journal Article
ARAlberto Rivas
Alberto Rivas
AGAlfonso González-Briones
Alfonso González-Briones
GHGuillermo Hernández
Guillermo Hernández
Javier PrietoPCPablo Chamoso
Pablo Chamoso1 September 2019 in Information Fusion
Journal Article
Roberto Casado-VaraPCPablo Chamoso
Pablo ChamosoFernando De La PrietaJavier PrietoJuan Corchado6 January 2012 in IEEE Transactions on Signal Processing
Journal Article
Javier PrietoSMSantiago Mazuelas
Santiago Mazuelas
ABAlfonso Bahillo
Alfonso BahilloPFPatricia Fernandez
Patricia Fernandez
RLRubén M. Lorenzo
Rubén M. Lorenzo
EAEvaristo J. Abril
Evaristo J. AbrilThe dynamic and unpredictable characteristics of wireless channels in harsh environments have resulted in a poor performance of localization systems. Conventional implementations rely on unrealistic assumptions driven by tractability requirements, such as linear models or Gaussian errors. In this paper, we present a framework for data fusion in localization systems based on determining likelihood functions that represent the relationship between measurements and distances. In this framework, such likelihoods are dynamically adapted to the propagation conditions. The subsequent usage of a particle filter (PF) leads to an adaptive likelihood particle (ALPA) filter that addresses the nonlinear and non-Gaussian behavior of measurements over time. The ALPA filter's performance is quantified by using received-signal-strength (RSS) and time-of-arrival (TOA) measurements collected with wireless local area network (WLAN) devices. We compare the accuracy obtained to the accuracy of conventional implementations and to the posterior Cramér-Rao lower bound (PCRLB). Both empirical and simulation results show that the proposed ALPA filter significantly improves the accuracy of conventional approaches, obtaining an error close to the PCRLB.
About Me
Javier Prieto earned the PhD in Information and Communication Technologies and the Extraordinary Performance Award for Doctorate Studies from the University of Valladolid in 2012. At this University, he also received the Telecommunication Engineer degree (2008) and the Marketing Research and Techniques degree (2010). Since 2007, he has worked in different public and private research centers, such as: the Foundation Center for the Development of Telecommunications of Castilla y León (CEDETEL), the University of Valladolid (Spain) or the Massachusetts Institute of Technology (MIT). He has also served as a distinguished researcher at the University of Salamanca. Currently, he is an Associate Professor at the Department of Computer Science and Automation of the University of Salamanca. He is also a member of the Institute of Biomedical Research of Salamanca (IBSAL).
He has published more than 175 research papers, and participated/coordinated more than 150 research projects. He serves as the Editor-in-Chief for the Smart Cities journal in the Internet of Things Section, and as an associate editor for the IEEE Communications Letters, the Frontiers in Public Health, and the Wireless Communications and Mobile Computing journals. Senior Member of the IEEE, he is the chair of the IEEE Communications Society and Signal Processing Society Joint Chapter, and the Coordinator of the IEEE Blockchain Spain Local Group.