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Application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in Drone Thermal Imaging for Solar Farm Monitoring

Author

Listed:
  • Thenmozhi Rajagopal

    (Department of Information Technology, Valliammai Engineering College, Kattankulathur 603203, Tamilnadu, India)

  • Amutha Balakrishnan

    (Department of Computer Science and Engineering, SRM University, Kattankulathur 603203, Tamilnadu, India)

  • Sreeram Valsalakumar

    (College of Engineering, Mathematics and Physical Science, University of Exeter, Cornwall TR108NE, UK)

  • Thundil Karuppa Raj Rajagopal

    (School of Mechanical Engineering, VIT, Vellore 632014, Tamilnadu, India)

  • Senthilarasu Sundaram

    (College of Engineering, Mathematics and Physical Science, University of Exeter, Cornwall TR108NE, UK
    Electrical and Electronics, School of Engineering and the Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, UK)

Abstract

The impact of multimedia in day-to-day life and its applications will be increased greatly with the proposed model (MSVPC)–5G Multicast SDN network eminence video transmission obtained using PSO and cross layer progress in wireless nodes. The drone inspection and analysis in a solar farm requires a very high number of transmissions of various videos, data, animations, along with all sets of audio, text and visuals. Thus, it is necessary to regulate the transmissions of various videos due to a huge amount of bandwidth requirement for videos. A software-defined network (SDN) enables forwarder selection through particle swarm optimization (PSO) mode for streaming video packets through multicast routing transmissions. Transmission delay and packet errors are the main factors in selecting a forwarder. The nodes that transfer the videos with the shortest delay and the lowest errors have been calculated and sent to the destination through the forwarder. This method involves streaming to be increased with the highest throughput and less delay. Here, the achieved throughput is shown as 0.0699412 bits per second for 160 s of simulation time. Also, the achieved packet delivery ratio is 81.9005 percentage for 150 nodes on the network. All these metrics can be changed according to the network design and can have new results. Thus, the application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in drone thermal imaging helps in monitoring solar farms more effectively, and may lead to the development of certain algorithms in prescriptive analytics which recommends the best practices for solar farm development.

Suggested Citation

  • Thenmozhi Rajagopal & Amutha Balakrishnan & Sreeram Valsalakumar & Thundil Karuppa Raj Rajagopal & Senthilarasu Sundaram, 2021. "Application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in Drone Thermal Imaging for Solar Farm Monitoring," Energies, MDPI, vol. 14(24), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8255-:d:697598
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    References listed on IDEAS

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    1. Cubukcu, M. & Akanalci, A., 2020. "Real-time inspection and determination methods of faults on photovoltaic power systems by thermal imaging in Turkey," Renewable Energy, Elsevier, vol. 147(P1), pages 1231-1238.
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