The role of Artificial Intelligence and distributed computing in IoT applications

The role of Artificial Intelligence and distributed computing in IoT applications

  • Author: Rodríguez González, Sara; de la Prieta Pintado, Fernando; García Coria, José Alberto; Casado Vara, Roberto
  • Publisher: Ediciones Universidad de Salamanca
  • Serie: Aquilafuente
  • eISBN Pdf: 9788413112930
  • eISBN Epub: 9788413113098
  • Place of publication:  Salamanca , Spain
  • Year of digital publication: 2020
  • Month: September
  • Pages: 149
  • Language: English
The exchange of ideas between scientists and technicians, from both academic and business areas, is essential in order to ease the development of systems which can meet the demands of today’s society. Technology transfer in this field is still a challenge and, for that reason, this type of contributions are notably considered in this compilation. This book brings in discussions and publications concerning the development of innovative techniques of IoT complex problems. The technical program focuses both on high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 10 chapters were submitted to this book. The editors particularly encouraged and welcomed contributions on AI and distributed computing in IoT applications. The editors are specially grateful for the funding supporting by the project “Virtual-Ledgers-Tecnologías DLT/Blockchain y Cripto-IOT sobre organizaciones virtuales de agentes ligeros y su aplicación en la eficiencia en el transporte de última milla”, ID SA267P18, financed by regional government of Castilla y León and FEDER funds.
  • The role of artificial intelligence and distributed computing in IOT applications
  • Half-title
  • Title Page
  • Staff
  • Index
  • Spectra Routing
    • 1 Introduction
    • 2 Design Goal
    • 3 Project Technologies
      • 3.1 Open Street MAP
      • 3.2 OpenRouteService
      • 3.3 Leaflet
      • 3.4 Nominatim
      • 3.5 Pelias
      • 3.6 Cassandra
    • 4 High-Level Design
    • 5 Platform Overview
    • Referencias
  • Design of platforms based on blockchain technology applied to different use cases
    • 1 Introduction
    • 2 Blockchain Technology: background
    • 3 Solutions Review
    • 4 Current Works
    • 5 Conclusions
    • Acknowledgments
    • References
  • A deep tech architecture for intelligent IoT systems
    • 1 Introducción
    • 2 Edge Computing & Fog Computing
    • 3 Deep Tech
    • 4 Distributed Artificial Inteligence
    • 5 Conclusion
    • 6 Future work
    • References
  • The importance of digital transformation. Incidence of The Digital Economy and Society Index (DESI)
    • 1 Introduction
      • 1.1 Digital transformation. A global concept
      • 1.2 The Digital Economy and Society Index (DESI)
    • 2 Methodology
      • 2.1 Population and sample
      • 2.2 Variables
      • 2.3 Estimation techniques
    • 3 Results
    • 4 Conclusions
    • Acknowledgement
    • References
  • Distribution of quantum keys over commercial networks
    • 1 Introducción
    • 2 Quantum communication protocol
      • 2.1 BB84
      • 2.2 Practical example of protocol use BB84
    • 3 Quantum Key Distribution
      • 3.1 Basic Network of Municipalities
      • 3.2 Identification of Representative Municipalities
      • 3.3 Repeater Network
    • 4 Experimentation
    • 5 Conclusion
    • References
  • GECA: A Global Edge Computing Architecture
    • 1 Introduction
    • 2 A Global Edge Computing Architecture
    • 3 Conclusion
    • References
  • Windy Rural Collaborative Postmen Problem using ROS as Multi-Agent System Architecture
    • 1 Introduction
    • 2 Proposal
    • References
  • Design and development of solutions for research projects: Upper, CityChain and pulse generator
    • 1 Introduction
      • 1.1 Problem description
      • 1.2 Reasons
      • 1.3 Brief description of solution
    • 2 Materials and methods
    • 3 Conclusions
    • References
  • A Recommendation-based Proposal for Improving Energy Efficiency in Housing
    • 1 Introduction
    • 2 Objectives and Methodology
      • 2.1 Contribution
    • 3 Results Analysis
    • 4 Conclusion
    • References
  • Recommender systems based on hybrid models
    • 1 Introduction
    • 2 Job offer recommender system
    • 3 Resources recommender system based on the students performance
    • References
    • Contracubierta

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