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Greening internet of things for greener and smarter cities: a survey and future prospects

Author

Listed:
  • S. H. Alsamhi

    (Tsinghua University
    IBB University)

  • Ou Ma

    (University of Cincinnati)

  • Mohd. Samar Ansari

    (Athlone Institute of Technology)

  • Qingliang Meng

    (Tsinghua University)

Abstract

Tremendous technological developments in the field of internet of things (IoT) have changed the way we live and work. Although the numerous advantages of IoT are enriching our society, it should be reminded that the IoT also contributes to toxic pollution, consumes energy and generates e-waste. These persistent issues place new stress on the smart world and environments. To enhance the benefits and reduce the harmful effects of IoT, there is an increasingly desired to move towards green IoT. Green IoT is seen as the environmentally friendly future of IoT. Therefore, it is necessary to put different desired measures to conserve environmental resources, reduce carbon footprints and promote efficient techniques for energy usage. It is the reason for moving towards green IoT, where the machines, sensors, communications, clouds, and internet operate in synergy towards the common goal of increased energy efficiency and reduced carbon emissions. This work presents a thorough survey of the current ongoing research and potential technologies of green IoT with an intention to provide some directions for future green IoT research.

Suggested Citation

  • S. H. Alsamhi & Ou Ma & Mohd. Samar Ansari & Qingliang Meng, 2019. "Greening internet of things for greener and smarter cities: a survey and future prospects," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(4), pages 609-632, December.
  • Handle: RePEc:spr:telsys:v:72:y:2019:i:4:d:10.1007_s11235-019-00597-1
    DOI: 10.1007/s11235-019-00597-1
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    References listed on IDEAS

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    1. Arthur Mickoleit, 2010. "Greener and Smarter: ICTs, the Environment and Climate Change," OECD Green Growth Papers 2010/1, OECD Publishing.
    2. Laura-Diana Radu, 2016. "Determinants of Green ICT Adoption in Organizations: A Theoretical Perspective," Sustainability, MDPI, vol. 8(8), pages 1-16, July.
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    4. Xiao-Fang Liu & Zhi-Hui Zhan & Jun Zhang, 2017. "An Energy Aware Unified Ant Colony System for Dynamic Virtual Machine Placement in Cloud Computing," Energies, MDPI, vol. 10(5), pages 1-15, May.
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    6. Editors, 2014. "International Journal of Systems Science," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(12), pages 1-1, December.
    7. S. H. Alsamhi & Ou Ma & Mohd. Samar Ansari, 2019. "Survey on artificial intelligence based techniques for emerging robotic communication," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(3), pages 483-503, November.
    8. Piotr Pazowski, 2015. "Green Computing: Latest Practices and Technologies for Ict Sustainability," Managing Intellectual Capital and Innovation for Sustainable and Inclusive Society: Managing Intellectual Capital and Innovation; Proceedings of the MakeLearn and TIIM Joint International Conference 2,, ToKnowPress.
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    Cited by:

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    2. Congjia Huo & Lingming Chen, 2022. "The Impact of the Income Gap on Carbon Emissions: Evidence from China," Energies, MDPI, vol. 15(10), pages 1-22, May.
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    4. Aiguo Shen & Qiubo Ye & Guangsong Yang & Xinyu Hao, 2021. "M2M energy saving strategy in 5G millimeter wave system," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(4), pages 629-643, December.

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