IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v15y2022i1p19-d1018613.html
   My bibliography  Save this article

Logically-Centralized SDN-Based NDN Strategies for Wireless Mesh Smart-City Networks

Author

Listed:
  • Sarantis Kalafatidis

    (Department of Applied Informatics, University of Macedonia, 54636 Thessaloniki, Greece)

  • Sotiris Skaperas

    (Department of Applied Informatics, University of Macedonia, 54636 Thessaloniki, Greece)

  • Vassilis Demiroglou

    (Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Greece)

  • Lefteris Mamatas

    (Department of Applied Informatics, University of Macedonia, 54636 Thessaloniki, Greece)

  • Vassilis Tsaoussidis

    (Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Greece)

Abstract

The Internet of Things (IoT) is a key technology for smart community networks, such as smart-city environments, and its evolution calls for stringent performance requirements (e.g., low delay) to support efficient communication among a wide range of objects, including people, sensors, vehicles, etc. At the same time, these ecosystems usually adopt wireless mesh technology to extend their communication range in large-scale IoT deployments. However, due to the high range of coverage, the smart-city WMNs may face different network challenges according to the network characteristic, for example, (i) areas that include a significant number of wireless nodes or (ii) areas with frequent dynamic changes such as link failures due to unstable topologies. Named-Data Networking (NDN) can enhance WMNs to meet such IoT requirements, thanks to the content naming scheme and in-network caching, but it necessitates adaptability to the challenging conditions of WMNs. In this work, we aim at efficient end-to-end NDN communication in terms of performance (i.e., delay), performing extended experimentation over a real WMN, evaluating and discussing the benefits provided by two SDN-based NDN strategies: (1) a dynamic SDN-based solution that integrates the NDN operation with the routing decisions of a WMN routing protocol; (2) a static one which based on SDN-based clustering and real WMN performance measurements. Our key contributions include (i) the implementation of two types of NDN path selection strategies; (ii) experimentation and data collection over the w-iLab.t Fed4FIRE+ testbed with real WMN conditions; (ii) real measurements released as open-data, related to the performance of the wireless links in terms of RSSI, delay, and packet loss among the wireless nodes of the corresponding testbed.

Suggested Citation

  • Sarantis Kalafatidis & Sotiris Skaperas & Vassilis Demiroglou & Lefteris Mamatas & Vassilis Tsaoussidis, 2022. "Logically-Centralized SDN-Based NDN Strategies for Wireless Mesh Smart-City Networks," Future Internet, MDPI, vol. 15(1), pages 1-21, December.
    • Handle: RePEc:gam:jftint:v:15:y:2022:i:1:p:19-:d:1018613
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/15/1/19/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/15/1/19/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zeinab Shariat & Ali Movaghar & Mehdi Hoseinzadeh, 2017. "A learning automata and clustering-based routing protocol for named data networking," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 65(1), pages 9-29, May.
    2. Taher M. Ghazal & Mohammad Kamrul Hasan & Muhammad Turki Alshurideh & Haitham M. Alzoubi & Munir Ahmad & Syed Shehryar Akbar & Barween Al Kurdi & Iman A. Akour, 2021. "IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review," Future Internet, MDPI, vol. 13(8), pages 1-19, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shaopei Gao & Qiang Liu & Junjie Zeng & Li Li, 2024. "SD-GPSR: A Software-Defined Greedy Perimeter Stateless Routing Method Based on Geographic Location Information," Future Internet, MDPI, vol. 16(7), pages 1-17, July.

    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. Yehia Ibrahim Alzoubi & Ahmad Al-Ahmad & Hasan Kahtan & Ashraf Jaradat, 2022. "Internet of Things and Blockchain Integration: Security, Privacy, Technical, and Design Challenges," Future Internet, MDPI, vol. 14(7), pages 1-48, July.
    2. Alper Ozpinar, 2023. "A Hyper-Integrated Mobility as a Service (MaaS) to Gamification and Carbon Market Enterprise Architecture Framework for Sustainable Environment," Energies, MDPI, vol. 16(5), pages 1-22, March.
    3. Amit Sundas & Sumit Badotra & Salil Bharany & Ahmad Almogren & Elsayed M. Tag-ElDin & Ateeq Ur Rehman, 2022. "HealthGuard: An Intelligent Healthcare System Security Framework Based on Machine Learning," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    4. Gandhimathi Velusamy & Ricardo Lent, 2018. "Dynamic Cost-Aware Routing of Web Requests," Future Internet, MDPI, vol. 10(7), pages 1-19, June.
    5. Urmila Pilania & Rohit Tanwar & Mazdak Zamani & Azizah Abdul Manaf, 2022. "Framework for Video Steganography Using Integer Wavelet Transform and JPEG Compression," Future Internet, MDPI, vol. 14(9), pages 1-16, August.
    6. Tariq Ahamed Ahanger & Fadl Dahan & Usman Tariq & Imdad Ullah, 2022. "Quantum Inspired Task Optimization for IoT Edge Fog Computing Environment," Mathematics, MDPI, vol. 11(1), pages 1-28, December.
    7. Ilja Nastjuk & Simon Trang & Elpiniki I. Papageorgiou, 2022. "Smart cities and smart governance models for future cities," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1917-1924, December.
    8. Adwitiya Mukhopadhyay & Aryadevi Remanidevi Devidas & Venkat P. Rangan & Maneesha Vinodini Ramesh, 2024. "A QoS-Aware IoT Edge Network for Mobile Telemedicine Enabling In-Transit Monitoring of Emergency Patients," Future Internet, MDPI, vol. 16(2), pages 1-22, February.
    9. Divya Biligere Shivanna & Thompson Stephan & Fadi Al-Turjman & Manjur Kolhar & Sinem Alturjman, 2022. "IoMT-Based Automated Diagnosis of Autoimmune Diseases Using MultiStage Classification Scheme for Sustainable Smart Cities," Sustainability, MDPI, vol. 14(21), pages 1-15, October.
    10. Salem Ahmed Alabdali & Salvatore Flavio Pileggi & Dilek Cetindamar, 2023. "Influential Factors, Enablers, and Barriers to Adopting Smart Technology in Rural Regions: A Literature Review," Sustainability, MDPI, vol. 15(10), pages 1-38, May.
    11. Mohsen Chekin & Mehdi Hossienzadeh & Ahmad Khademzadeh, 2019. "A rapid anti-collision algorithm with class parting and optimal frames length in RFID systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(1), pages 141-154, May.
    12. Vijendra Kumar & Hazi Md. Azamathulla & Kul Vaibhav Sharma & Darshan J. Mehta & Kiran Tota Maharaj, 2023. "The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management," Sustainability, MDPI, vol. 15(13), pages 1-33, July.
    13. Daniela REISZ & Raluca TUDOR & Iulia CRISAN, 2022. "The Role of Small Medical Units in a Smart City The Case of Timisoara," Smart Cities International Conference (SCIC) Proceedings, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 10, pages 289-298, November.
    14. Fabián Silva-Aravena & Jenny Morales, 2022. "Dynamic Surgical Waiting List Methodology: A Networking Approach," Mathematics, MDPI, vol. 10(13), pages 1-23, July.

    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:gam:jftint:v:15:y:2022:i:1:p:19-:d:1018613. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.