IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/djgba_v1.html
   My bibliography  Save this paper

Decentralized Internet of Things-Networks for environmental data pipelines: Opportunities and challenges in a community-based urban green space restoration project in Nairobi, Kenya

Author

Listed:
  • Fiegenbaum, Hanna
  • Azegele, Bradley
  • Seider, Stephan

Abstract

Decentralized IoT-networks are part of a broader class of decentralized physical infrastructure networks (DePIN), which use blockchain to decentralize, incentivize, and reward the operation and maintenance of technical infrastructure. This study examines how decentralized IoT-networks can address challenges in the design and governance of environmental data streams, drawing on a community-based urban restoration project in Nairobi, Kenya. IoT sensors were deployed on the blockchain-based Helium Network to monitor regulating urban ecosystem services. The paper discusses technical features and presents observations on network reliability and community participation. The findings suggest that decentralized IoT systems hold promise for distributed environmental data collection and transparent governance, particularly in low-resource settings. However, purpose-built architectures may help enhance the effectiveness and deployment of community-based environmental monitoring efforts.

Suggested Citation

  • Fiegenbaum, Hanna & Azegele, Bradley & Seider, Stephan, 2025. "Decentralized Internet of Things-Networks for environmental data pipelines: Opportunities and challenges in a community-based urban green space restoration project in Nairobi, Kenya," OSF Preprints djgba_v1, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:djgba_v1
    DOI: 10.31219/osf.io/djgba_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/6832ee100f71d5ef2dab825a/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/djgba_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Muthumanickam Dhanaraju & Poongodi Chenniappan & Kumaraperumal Ramalingam & Sellaperumal Pazhanivelan & Ragunath Kaliaperumal, 2022. "Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture," Agriculture, MDPI, vol. 12(10), pages 1-26, October.
    2. Frederico M. Bublitz & Arlene Oetomo & Kirti S. Sahu & Amethyst Kuang & Laura X. Fadrique & Pedro E. Velmovitsky & Raphael M. Nobrega & Plinio P. Morita, 2019. "Disruptive Technologies for Environment and Health Research: An Overview of Artificial Intelligence, Blockchain, and Internet of Things," IJERPH, MDPI, vol. 16(20), pages 1-24, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Baoshi Sun & Qiaoli Zhang & Shi Cao, 2020. "Development and Implementation of a Self-Optimizable Smart Lighting System Based on Learning Context in Classroom," IJERPH, MDPI, vol. 17(4), pages 1-26, February.
    2. Belfiore, Alessandra & Cuccurullo, Corrado & Aria, Massimo, 2022. "IoT in healthcare: A scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. Asuamah Yeboah, Samuel, 2023. "Empowering Sustainable Consumption: Harnessing the Potential of Smart Grid Systems and Internet of Things for Environmental Conservation," MPRA Paper 117978, University Library of Munich, Germany, revised 29 May 2023.
    4. Piotr Goliński & Patrycja Sobolewska & Barbara Stefańska & Barbara Golińska, 2022. "Virtual Fencing Technology for Cattle Management in the Pasture Feeding System—A Review," Agriculture, MDPI, vol. 13(1), pages 1-14, December.
    5. Gniewko Niedbała & Sebastian Kujawa, 2023. "Digital Innovations in Agriculture," Agriculture, MDPI, vol. 13(9), pages 1-10, August.
    6. Kirsten Gayle F. Aguilar & Niña Graelm S. Mariano & Eloisa Marie M. Salvador & Clarise Tisoy, 2024. "Case Studies on Assessing Internet of Things’ Influence and its Role in Agricultural Efficient Sourcing," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(11), pages 3214-3230, November.
    7. J. Siva Prashanth & G. Bala Krishna & A. V. Krishna Prasad & P. Ravinder Rao, 2025. "Smart Farming Revolution: A Cutting-Edge Review of Deep Learning and IoT Innovations in Agriculture," SN Operations Research Forum, Springer, vol. 6(1), pages 1-39, March.
    8. Talal Darwish & Amin Shaban & Ghaleb Faour & Ihab Jomaa & Peter Moubarak & Roula Khadra, 2025. "Sustainable and Traditional Irrigation and Fertigation Practices for Potato and Zucchini in Dry Mediterranean Regions," Sustainability, MDPI, vol. 17(5), pages 1-21, February.
    9. Idiano D’Adamo & Assunta Di Vaio & Alessandro Formiconi & Antonio Soldano, 2022. "European IoT Use in Homes: Opportunity or Threat to Households?," IJERPH, MDPI, vol. 19(21), pages 1-18, November.
    10. Deyin Zhang & Daiyin Jiang & Bing He, 2025. "Empowering Agricultural Economic Resilience with Smart Supply Chain: Theoretical Mechanism and Action Path," Sustainability, MDPI, vol. 17(7), pages 1-19, March.
    11. Marwan Albahar, 2023. "A Survey on Deep Learning and Its Impact on Agriculture: Challenges and Opportunities," Agriculture, MDPI, vol. 13(3), pages 1-22, February.
    12. Artur Wilczynski & Ewa Koloszycz, 2025. "Economic Resilience in European Dairy Farms: Trends, Determinants and Challenges," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 27(69), pages 587-587, April.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:djgba_v1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.