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Adaptive Smart Areas: Tailoring Technology for the Development of Intelligent Rural Solutions

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Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection (PAAMS 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2149))

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Abstract

This paper addresses the pressing need for technological solutions in rural areas, which face challenges such as geographic dispersion, resource limitations, and the impact of environmental conditions on productivity. These issues, compounded by a depopulation trend, threaten rural regions’ socio-economic stability and sustainable development. Introducing the concept of Adaptive Smart Areas (ASAs), this research proposes a holistic approach to enhance the resilience and adaptability of rural technological ecosystems. ASAs leverage the Internet of Things (IoT), edge computing, and cloud computing to enable efficient resource use, improve production processes, and enhance the quality of life in rural communities by facilitating real-time decision-making and autonomous operation. The paper aims to define ASAs and provide a conceptual framework for an abstract support platform that integrates edge and cloud computing. This framework aims to develop intelligent solutions that address the unique challenges of rural settings, including connectivity issues and geographical dispersion. This research aims to develop technological solutions that are adaptable and within reach, intending to support the ongoing growth and improvement of rural areas. It fosters practical innovation and ensures sustainable and inclusive technological progress in these communities.

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Acknowledgements

This work was partially supported with grants PID2021-123673OB-C31, PDC2022-133161-C32 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe” and “Unión Europea Next GenerationEU/ PRTR”, PROMETEO grant CIPROM/2021/077 from the Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital—Generalitat Valenciana and CitCom.ai TEF (Digital Europe grant no. 101100728).

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Authors and Affiliations

  1. Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain

    Vicente Julian, Carlos Carrascosa, Javier Palanca, Andrés Terrasa, Miguel Rebollo & Adriana Giret

  2. Valencian Graduate School and Research Network of Artificial Intelligence, Universitat Politècnica de València, Camí de Vera s/n, 46022, Valencia, Spain

    Vicente Julian & Adriana Giret

Authors
  1. Vicente Julian
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  2. Carlos Carrascosa
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  3. Javier Palanca
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  4. Andrés Terrasa
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  5. Miguel Rebollo
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  6. Adriana Giret
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Corresponding author

Correspondence to Vicente Julian .

Editor information

Editors and Affiliations

  1. University of Salamanca, Salamanca, Spain

    Alfonso González-Briones

  2. Universitat Politècnica de València, Valencia, Spain

    Vicente Julian Inglada

  3. German International University, Cairo, Egypt

    Alia El Bolock

  4. Universitat Politècnica de València, Valencia, Spain

    Cedric Marco-Detchart

  5. Universitat Politècnica de València, Valencia, Spain

    Jaume Jordan

  6. University of Galway, Galway, Ireland

    Karl Mason

  7. National Laboratory of Energy and Geology, Amadora, Portugal

    Fernando Lopes

  8. The German International University, Cairo, Egypt

    Nada Sharaf

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Julian, V., Carrascosa, C., Palanca, J., Terrasa, A., Rebollo, M., Giret, A. (2025). Adaptive Smart Areas: Tailoring Technology for the Development of Intelligent Rural Solutions. In: González-Briones, A., et al. Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection. PAAMS 2024. Communications in Computer and Information Science, vol 2149. Springer, Cham. https://doi.org/10.1007/978-3-031-73058-0_5

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  • DOI: https://doi.org/10.1007/978-3-031-73058-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-73057-3

  • Online ISBN: 978-3-031-73058-0

  • eBook Packages: Artificial Intelligence (R0)

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