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Scalable and Sustainable Community Networks for Inclusive Smart Cities

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Science and Technologies for Smart Cities (SmartCity 360 2021)

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Abstract

Community networks can help build smart cities by interconnecting and empowering the underserved and unconnected. However, communities often face financial and human resource constraints when building and maintaining such networks. We present a network architecture and some design principles aimed at addressing issues of sustainability and scaling in the face of such resource constraints. With our proposed approach however, component selection, qualification, and testing become additional tasks for the community. Programmability and network function virtualization may instead help address compatibility issues, promote resource pooling at the edge, and allow dynamic resource allocation.

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Acknowledgement

The work described here is an extension of earlier work done in the Bayanihanets program funded by the Department of Science and Technology. The ongoing efforts are supported by the PCARI Scalable Community Access Networks (PCARI SCAN) and PCARI PRIME programs funded by the Commission on Higher Education, and the Asi@Connect CONNECT program funded by the European Commission through TEIN*CC. Pilot site deployment is done in collaboration with the University Computer Center of the University of the Philippines. Experimental resource support has been provided by Samsung R&D Institute Philippines. We are grateful to Eric Brewer of the University of California Berkeley for the valuable inputs and suggestions at the early stages of this work. Finally, we thank the APNIC Foundation for its support in disseminating our results.

Author information

Authors and Affiliations

  1. Electrical and Electronics Engineering Institute, University of the Philippines Diliman, Quezon City, Philippines

    John Marlo Evangelista, Karyn Maglalang, Colline Estrada, Pio Jonel Mijares, Jhon Aaron Trajano, John Patrick Zamora, Vladimir Axl Von Carlo Zurbano, Isabel Montes-Austria & Roel Ocampo

  2. Department of Computer Science, University of the Philippines Diliman, Quezon City, Philippines

    Lope Beltran II, Ken Abryl Eleazar Salanio & Cedric Angelo Festin

  3. College of Computer Studies, New Era University, Quezon City, Philippines

    Jhon Aaron Trajano

  4. University of California Berkeley, Berkeley, USA

    Matthew Podolsky

Authors
  1. John Marlo Evangelista
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  2. Karyn Maglalang
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  9. Vladimir Axl Von Carlo Zurbano
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Corresponding author

Correspondence to John Marlo Evangelista .

Editor information

Editors and Affiliations

  1. Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal

    Sara Paiva

  2. Auckland University of Technology, Auckland, New Zealand

    Xuejun Li

  3. Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal

    Sérgio Ivan Lopes

  4. SRM Institute of Science and Technology, Chennai, India

    Nishu Gupta

  5. Howard University, Washington, DC, USA

    Danda B. Rawat

  6. Stoke-on-Trent, Birmingham, UK

    Asma Patel

  7. Politecnico di Milano, Milan, Italy

    Hamid Reza Karimi 

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Evangelista, J.M. et al. (2022). Scalable and Sustainable Community Networks for Inclusive Smart Cities. In: Paiva, S., et al. Science and Technologies for Smart Cities. SmartCity 360 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-031-06371-8_26

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  • DOI: https://doi.org/10.1007/978-3-031-06371-8_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06370-1

  • Online ISBN: 978-3-031-06371-8

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