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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Bibliographic Details
Published in:2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) pp. 1060 - 1063
Main Authors: Manu, Mehul, Adnan, Myasar Mundher, Mudhafar, Mustafa, Chaudhary, Diwakar, Dhabalia, Dharmesh, Al-Saidi, Imad Al-Din Hussein, Sabah, Hawraa Ali, Shendi, Adeeb Qassim
Format: Conference Proceeding
Language:English
Published: IEEE 14.05.2024
Subjects:
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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Summary: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