IDEAS home Printed from https://ideas.repec.org/p/zbw/itsm19/201754.html
   My bibliography  Save this paper

Combining Fog Computing and LoRaWAN Technologies for Smart Cities Applications

Author

Listed:
  • Sobhi, Salma
  • Ali, Maged A.
  • Abdelkader, Mohamed F.

Abstract

With the growing need for smart services and internet of things (IoT) devices in smart cities, the cloud paradigm might not be able to accommodate the increasing data traffic and the various latencyaware applications. Meanwhile, as smart cities grow bigger and wider, finding a communication protocol that fully supports the nature of smart cities application becomes essential, with the need for a secure and privacy protecting paradigm is more than ever. In this paper, we investigate the potential of combining the recently introduced fog computing and loRaWAN communication standard to attain more sustainable smart cities. We present a case study for using the proposed network architecture for smart water distribution networks.

Suggested Citation

  • Sobhi, Salma & Ali, Maged A. & Abdelkader, Mohamed F., 2019. "Combining Fog Computing and LoRaWAN Technologies for Smart Cities Applications," 2nd Europe – Middle East – North African Regional ITS Conference, Aswan 2019: Leveraging Technologies For Growth 201754, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsm19:201754
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/201754/1/ITS2019-Aswan-paper-64.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saber Talari & Miadreza Shafie-khah & Pierluigi Siano & Vincenzo Loia & Aurelio Tommasetti & João P. S. Catalão, 2017. "A Review of Smart Cities Based on the Internet of Things Concept," Energies, MDPI, vol. 10(4), pages 1-23, March.
    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. Marsal-Llacuna, Maria-Lluïsa, 2018. "Future living framework: Is blockchain the next enabling network?," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 226-234.
    2. Gleb V. Savin, 2021. "The smart city transport and logistics system: Theory, methodology and practice," Upravlenets, Ural State University of Economics, vol. 12(6), pages 67-86, October.
    3. Naser Hossein Motlagh & Mahsa Mohammadrezaei & Julian Hunt & Behnam Zakeri, 2020. "Internet of Things (IoT) and the Energy Sector," Energies, MDPI, vol. 13(2), pages 1-27, January.
    4. Diogo Abrantes & Marta Campos Ferreira & Paulo Dias Costa & Joana Hora & Soraia Felício & Teresa Galvão Dias & Miguel Coimbra, 2023. "A New Perspective on Supporting Vulnerable Road Users’ Safety, Security and Comfort through Personalized Route Planning," IJERPH, MDPI, vol. 20(4), pages 1-24, February.
    5. Seung-Min Jung & Sungwoo Park & Seung-Won Jung & Eenjun Hwang, 2020. "Monthly Electric Load Forecasting Using Transfer Learning for Smart Cities," Sustainability, MDPI, vol. 12(16), pages 1-20, August.
    6. Jun Qiu & Jing Cao & Xinyi Gu & Zimo Ge & Zhe Wang & Zheng Liang, 2023. "Design of an Evaluation System for Disruptive Technologies to Benefit Smart Cities," Sustainability, MDPI, vol. 15(11), pages 1-17, June.
    7. Bingqian Zhang & Guochao Peng & Caihua Liu & Zuopeng Justin Zhang & Sajjad M. Jasimuddin, 2022. "Adaptation behaviour in using one-stop smart governance apps: an exploratory study between digital immigrants and digital natives," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1971-1991, December.
    8. Mirosław Kornatka & Tomasz Popławski, 2021. "Advanced Metering Infrastructure—Towards a Reliable Network," Energies, MDPI, vol. 14(18), pages 1-12, September.
    9. Fotios Zantalis & Grigorios Koulouras & Sotiris Karabetsos & Dionisis Kandris, 2019. "A Review of Machine Learning and IoT in Smart Transportation," Future Internet, MDPI, vol. 11(4), pages 1-23, April.
    10. Ahmed WA Hammad & Ali Akbarnezhad & Assed Haddad & Elaine Garrido Vazquez, 2019. "Sustainable Zoning, Land-Use Allocation and Facility Location Optimisation in Smart Cities," Energies, MDPI, vol. 12(7), pages 1-23, April.
    11. Dragos Sebastian CRISTEA & Ruben Cantarero NAVARRO & Javier Sánchez RIQUELME & Marius IVANOV & Muneeb ANWAR & George SUCIU, 2019. "Integrating IoT Modern Communication Architectures into the New Generation of VR/MR Environments," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 172-180.
    12. Bin Huang & Ke Xing & Stephen Pullen & Lida Liao, 2020. "Exploring Carbon Neutral Potential in Urban Densification: A Precinct Perspective and Scenario Analysis," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    13. Leroux, Erick & Pupion, Pierre-Charles, 2022. "Smart territories and IoT adoption by local authorities: A question of trust, efficiency, and relationship with the citizen-user-taxpayer," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    14. Muhammad Saidu Aliero & Muhammad Asif & Imran Ghani & Muhammad Fermi Pasha & Seung Ryul Jeong, 2022. "Systematic Review Analysis on Smart Building: Challenges and Opportunities," Sustainability, MDPI, vol. 14(5), pages 1-28, March.
    15. Chao Gao & Feng Wang & Xiaobing Hu & James Martinez, 2023. "Research on Sustainable Design of Smart Cities Based on the Internet of Things and Ecosystems," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    16. Ioannis Vardopoulos & Maria Papoui-Evangelou & Bogdana Nosova & Luca Salvati, 2023. "Smart ‘Tourist Cities’ Revisited: Culture-Led Urban Sustainability and the Global Real Estate Market," Sustainability, MDPI, vol. 15(5), pages 1-26, February.
    17. A. Hariharasudan & Sebastian Kot, 2018. "A Scoping Review on Digital English and Education 4.0 for Industry 4.0," Social Sciences, MDPI, vol. 7(11), pages 1-13, November.
    18. Mussawir Ul Mehmood & Abasin Ulasyar & Abraiz Khattak & Kashif Imran & Haris Sheh Zad & Shibli Nisar, 2020. "Cloud Based IoT Solution for Fault Detection and Localization in Power Distribution Systems," Energies, MDPI, vol. 13(11), pages 1-19, May.
    19. Zhang, Jiarui & Mu, Yunfei & Wu, Zhijun & Jia, Hongjie & Jin, Xiaolong & Qi, Yan, 2024. "Two-stage affine assessment method for flexible ramping capacity: An inverter heat pump virtual power plant case," Applied Energy, Elsevier, vol. 365(C).
    20. Kim Peiter Jørgensen & Roman Beck, 2022. "Universal Wallets," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(1), pages 115-125, February.

    More about this item

    Keywords

    Fog-computing; Smart-Cities; LoRaWAN; IoT; Water distribution networks.;
    All these keywords.

    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:zbw:itsm19:201754. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itsworld.org/ .

    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.