A Blockchain-Enabled MEC-Assisted CO₂ Emission Reduction Scheme Using Internet of Things 


Vol. 45,  No. 11, pp. 2022-2028, Nov.  2020
10.7840/kics.2020.45.11.2022


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  Abstract

One of the biggest challenge in the world right now is to control the emission of carbon-di-oxide (CO₂) gas to reduce the greenhouse effect. Vehicles that are used in the transport sector are responsible to increase the level of CO₂ in the atmosphere. Restriction can be applied for private vehicle users to limit the usage of CO₂ gas in the society. Internet of Things (IoT) devices specially different sensors can be used to collect the usage of CO₂ gas from the vehicles of a particular user. Additionally, Mobile edge computing (MEC) server can be helpful to process the collected data. This paper briefly explains the impact of increasing CO₂ gas in the environment and propose a secure scheme using recent technologies that can help to reduce the CO₂ gas emission rate. Finally, blockchain technology is endorsed to build a secure system to protect it against the attacks (i.e., cyber threats and data integrity) and any kind of third-party interaction.

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  Cite this article

[IEEE Style]

M. Masuduzzaman, A. Islam, J. W. Seo, S. Y. Shin, "A Blockchain-Enabled MEC-Assisted CO₂ Emission Reduction Scheme Using Internet of Things," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 11, pp. 2022-2028, 2020. DOI: 10.7840/kics.2020.45.11.2022.

[ACM Style]

MD Masuduzzaman, Anik Islam, Jong Wan Seo, and Soo Young Shin. 2020. A Blockchain-Enabled MEC-Assisted CO₂ Emission Reduction Scheme Using Internet of Things. The Journal of Korean Institute of Communications and Information Sciences, 45, 11, (2020), 2022-2028. DOI: 10.7840/kics.2020.45.11.2022.

[KICS Style]

MD Masuduzzaman, Anik Islam, Jong Wan Seo, Soo Young Shin, "A Blockchain-Enabled MEC-Assisted CO₂ Emission Reduction Scheme Using Internet of Things," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 11, pp. 2022-2028, 11. 2020. (https://doi.org/10.7840/kics.2020.45.11.2022)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880