Optimizing Quality of Service in IoT PORTAL through Strategic Bandwidth Allocation: A NEXUS access model

This paper, therefore, offers a paradigm that is specifically aimed at addressing the growing bandwidth requirements imposed by the Internet of Things: PDBA. This model will adaptively predict resource demands and network conditions in optimizing bandwidth allocation to achieve effective communicati...

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Veröffentlicht in:	2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) S. 1060 - 1063
Hauptverfasser:	Manu, Mehul, Adnan, Myasar Mundher, Mudhafar, Mustafa, Chaudhary, Diwakar, Dhabalia, Dharmesh, Al-Saidi, Imad Al-Din Hussein, Sabah, Hawraa Ali, Shendi, Adeeb Qassim
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 14.05.2024
Schlagworte:	Adaptation models adaptive predictive algorithms Bandwidth bandwidth allocation Channel allocation communication latency predictive dynamic bandwidth allocation (PDBA) Computational modeling Heuristic algorithms IoT networks NEXUS access model Predictive models Quality of service
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Zusammenfassung:	This paper, therefore, offers a paradigm that is specifically aimed at addressing the growing bandwidth requirements imposed by the Internet of Things: PDBA. This model will adaptively predict resource demands and network conditions in optimizing bandwidth allocation to achieve effective communication with the least possible latency. This paper proposes a Predictive Dynamic Bandwidth Allocation (PDBA) model to address the problem of fluctuating traffic demands on modern networks. The model serves to provide users with a quantitative bandwidth guarantee, meanwhile reflecting real-time traffic statistics and flexibly adjusting bandwidth allocation.
DOI:	10.1109/ICACITE60783.2024.10617219