Enhancing IEEE 802.15.4 access mechanism with machine learning

Arslan Musaddiq; Tariq Rahim; Dong Seong Kim

doi:10.1109/ICUFN49451.2021.9528725

Enhancing IEEE 802.15.4 access mechanism with machine learning

Arslan Musaddiq
, Tariq Rahim
, Dong Seong Kim

Kumoh National Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Published in: Proceedings of 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 210-212, ISSN: 2165-8536, ISBN: 9781728164762. This work was supported by the MSIT (Ministry of Science, ICT), Korea, under the Grand Information Technology Research Center support program [grant number: IITP-2020- 2020-0-01612] supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and Priority Research Centers Program [grant number: 2018R1A6A1A03024003] through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology. Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE) Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE)
Pages	210-212
DOIs	https://doi.org/10.1109/ICUFN49451.2021.9528725
Publication status	Published - 17 Aug 2021

Bibliographical note

Note: Published in: Proceedings of 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 210-212, ISSN: 2165-8536, ISBN: 9781728164762.

This work was supported by the MSIT (Ministry of Science, ICT), Korea, under the Grand Information Technology Research Center support program [grant number: IITP-2020- 2020-0-01612] supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and Priority Research Centers Program [grant number: 2018R1A6A1A03024003] through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology.

Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE)

Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE)

Keywords

Computer science and informatics

Access to Document

10.1109/ICUFN49451.2021.9528725

https://doi.org/10.1109/ICUFN49451.2021.9528725

1 Paper

Enhancing IEEE 802.15.4 access mechanism with machine learning
Musaddiq, A., Rahim, T. & Kim, D.-S., 17 Aug 2021.
Research output: Contribution to conference › Paper › peer-review

Cite this

Musaddiq, A., Rahim, T., & Kim, D. S. (2021). Enhancing IEEE 802.15.4 access mechanism with machine learning. In Published in: Proceedings of 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 210-212, ISSN: 2165-8536, ISBN: 9781728164762. This work was supported by the MSIT (Ministry of Science, ICT), Korea, under the Grand Information Technology Research Center support program [grant number: IITP-2020- 2020-0-01612] supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and Priority Research Centers Program [grant number: 2018R1A6A1A03024003] through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology. Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE) Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE) (pp. 210-212) https://doi.org/10.1109/ICUFN49451.2021.9528725

Musaddiq, Arslan ; Rahim, Tariq ; Kim, Dong Seong. / Enhancing IEEE 802.15.4 access mechanism with machine learning. Published in: Proceedings of 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 210-212, ISSN: 2165-8536, ISBN: 9781728164762. This work was supported by the MSIT (Ministry of Science, ICT), Korea, under the Grand Information Technology Research Center support program [grant number: IITP-2020- 2020-0-01612] supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and Priority Research Centers Program [grant number: 2018R1A6A1A03024003] through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology. Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE) Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE). 2021. pp. 210-212

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Musaddiq, A, Rahim, T & Kim, DS 2021, Enhancing IEEE 802.15.4 access mechanism with machine learning. in Published in: Proceedings of 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 210-212, ISSN: 2165-8536, ISBN: 9781728164762. This work was supported by the MSIT (Ministry of Science, ICT), Korea, under the Grand Information Technology Research Center support program [grant number: IITP-2020- 2020-0-01612] supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and Priority Research Centers Program [grant number: 2018R1A6A1A03024003] through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology. Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE) Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE). pp. 210-212. https://doi.org/10.1109/ICUFN49451.2021.9528725

Enhancing IEEE 802.15.4 access mechanism with machine learning. / Musaddiq, Arslan; Rahim, Tariq; Kim, Dong Seong.
Published in: Proceedings of 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 210-212, ISSN: 2165-8536, ISBN: 9781728164762. This work was supported by the MSIT (Ministry of Science, ICT), Korea, under the Grand Information Technology Research Center support program [grant number: IITP-2020- 2020-0-01612] supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and Priority Research Centers Program [grant number: 2018R1A6A1A03024003] through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology. Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE) Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE). 2021. p. 210-212.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N1 - Note: Published in: Proceedings of 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 210-212, ISSN: 2165-8536, ISBN: 9781728164762. This work was supported by the MSIT (Ministry of Science, ICT), Korea, under the Grand Information Technology Research Center support program [grant number: IITP-2020- 2020-0-01612] supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and Priority Research Centers Program [grant number: 2018R1A6A1A03024003] through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology. Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE) Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE)

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M3 - Conference contribution

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BT - Published in: Proceedings of 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 210-212, ISSN: 2165-8536, ISBN: 9781728164762. This work was supported by the MSIT (Ministry of Science, ICT), Korea, under the Grand Information Technology Research Center support program [grant number: IITP-2020- 2020-0-01612] supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and Priority Research Centers Program [grant number: 2018R1A6A1A03024003] through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology. Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE) Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE)

ER -

Musaddiq A, Rahim T, Kim DS. Enhancing IEEE 802.15.4 access mechanism with machine learning. In Published in: Proceedings of 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 210-212, ISSN: 2165-8536, ISBN: 9781728164762. This work was supported by the MSIT (Ministry of Science, ICT), Korea, under the Grand Information Technology Research Center support program [grant number: IITP-2020- 2020-0-01612] supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), and Priority Research Centers Program [grant number: 2018R1A6A1A03024003] through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology. Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE) Organising Body: Korean Institute of Communications and Information Sciences (KICS), The Institute of Electrical and Electronics Engineers (IEEE). 2021. p. 210-212 doi: 10.1109/ICUFN49451.2021.9528725