An Analytical Queuing Model Based on SDN for IoT Traffic in 5G

Aliyu Lawal Aliyu; Jim Diockou

doi:10.1007/978-3-031-28694-0_42

An Analytical Queuing Model Based on SDN for IoT Traffic in 5G

Aliyu Lawal Aliyu, Jim Diockou^*

^*Corresponding author for this work

Leeds Trinity University

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

2 Citations (Scopus)

Original language	English
Title of host publication	Advanced Information Networking and Applications - Proceedings of the 37th International Conference on Advanced Information Networking and Applications AINA-2023
Editors	Leonard Barolli
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	435-445
Number of pages	11
ISBN (Print)	9783031286933
DOIs	https://doi.org/10.1007/978-3-031-28694-0_42
Publication status	Published (VoR) - 2023
Event	37th International Conference on Advanced Information Networking and Applications, AINA 2023 - Juiz de Fora, Brazil Duration: 29 Mar 2023 → 31 Mar 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	655 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	37th International Conference on Advanced Information Networking and Applications, AINA 2023
Country/Territory	Brazil
City	Juiz de Fora
Period	29/03/23 → 31/03/23

Keywords

5G
IoT
mMTC
Queue
SDN
URLLC

Access to Document

10.1007/978-3-031-28694-0_42

Cite this

Aliyu, A. L., & Diockou, J. (2023). An Analytical Queuing Model Based on SDN for IoT Traffic in 5G. In L. Barolli (Ed.), Advanced Information Networking and Applications - Proceedings of the 37th International Conference on Advanced Information Networking and Applications AINA-2023 (pp. 435-445). (Lecture Notes in Networks and Systems; Vol. 655 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-28694-0_42

Aliyu, Aliyu Lawal ; Diockou, Jim. / An Analytical Queuing Model Based on SDN for IoT Traffic in 5G. Advanced Information Networking and Applications - Proceedings of the 37th International Conference on Advanced Information Networking and Applications AINA-2023. editor / Leonard Barolli. Springer Science and Business Media Deutschland GmbH, 2023. pp. 435-445 (Lecture Notes in Networks and Systems).

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author = "Aliyu, {Aliyu Lawal} and Jim Diockou",

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Aliyu, AL & Diockou, J 2023, An Analytical Queuing Model Based on SDN for IoT Traffic in 5G. in L Barolli (ed.), Advanced Information Networking and Applications - Proceedings of the 37th International Conference on Advanced Information Networking and Applications AINA-2023. Lecture Notes in Networks and Systems, vol. 655 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 435-445, 37th International Conference on Advanced Information Networking and Applications, AINA 2023, Juiz de Fora, Brazil, 29/03/23. https://doi.org/10.1007/978-3-031-28694-0_42

An Analytical Queuing Model Based on SDN for IoT Traffic in 5G. / Aliyu, Aliyu Lawal; Diockou, Jim.
Advanced Information Networking and Applications - Proceedings of the 37th International Conference on Advanced Information Networking and Applications AINA-2023. ed. / Leonard Barolli. Springer Science and Business Media Deutschland GmbH, 2023. p. 435-445 (Lecture Notes in Networks and Systems; Vol. 655 LNNS).

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

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Aliyu AL, Diockou J. An Analytical Queuing Model Based on SDN for IoT Traffic in 5G. In Barolli L, editor, Advanced Information Networking and Applications - Proceedings of the 37th International Conference on Advanced Information Networking and Applications AINA-2023. Springer Science and Business Media Deutschland GmbH. 2023. p. 435-445. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-28694-0_42