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IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities

Author

Listed:
  • Shabana Urooj

    (Department of Electrical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh 84428, Saudi Arabia)

  • Fadwa Alrowais

    (Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 84428, Saudi Arabia)

  • Yuvaraja Teekaraman

    (MOBI-Mobility, Logitics and Automative Technology Research Centre, Vrije Universiteit Brussels, 1050 Ixelles, Belgium)

  • Hariprasath Manoharan

    (Department of Electronics and Communication Engineering, Audisankara College of Engineering and Technology, Gudur 524 101, India)

  • Ramya Kuppusamy

    (Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore City 562 106, India)

Abstract

The application of Internet of Things (IoT) has been emerging as a new platform in wireless technologies primarily in the field of designing electric vehicles. To overcome all issues in existing vehicles and for protecting the environment, electric vehicles should be introduced by integrating an intellectual device called sensor all over the body of electric vehicle with less cost. Therefore, this article confers the need and importance of introducing electric vehicles with IoT based technology which monitors the battery life of electric vehicles. Since the electric vehicles are implemented with internet, an online monitoring system which is called Things Speak has been used for monitoring all the vehicles in a continuous manner (day-by-day). These online results will then be visualized in MATLAB after an effective boosting algorithm is integrated with objective function. The efficiency of proposed method is tested by visual analysis and performance results prove that the projected method on electric vehicle is improved when using IoT based technology. It is also observed that cost of implementation is lesser and capacity of electric vehicle is increased to about 74.3% after continuous monitoring with sensors.

Suggested Citation

  • Shabana Urooj & Fadwa Alrowais & Yuvaraja Teekaraman & Hariprasath Manoharan & Ramya Kuppusamy, 2021. "IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities," Energies, MDPI, vol. 14(4), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1072-:d:501465
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    References listed on IDEAS

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    1. Mina Farmanbar & Kiyan Parham & Øystein Arild & Chunming Rong, 2019. "A Widespread Review of Smart Grids Towards Smart Cities," Energies, MDPI, vol. 12(23), pages 1-18, November.
    2. 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.
    3. Bogdan Cristian Florea & Dragos Daniel Taralunga, 2020. "Blockchain IoT for Smart Electric Vehicles Battery Management," Sustainability, MDPI, vol. 12(10), pages 1-25, May.
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    Cited by:

    1. Armin Razmjoo & Meysam Majidi Nezhad & Lisa Gakenia Kaigutha & Mousa Marzband & Seyedali Mirjalili & Mehdi Pazhoohesh & Saim Memon & Mehdi A. Ehyaei & Giuseppe Piras, 2021. "Investigating Smart City Development Based on Green Buildings, Electrical Vehicles and Feasible Indicators," Sustainability, MDPI, vol. 13(14), pages 1-14, July.

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