Novel Adaptive DCOPA Using Dynamic Weighting for Vector of Performances Indicators Optimization of IoT Networks
Journal article
Authors | Mir, F. and Meziane, F. |
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Abstract | Clustering in the Internet of Things (IoT) involves organizing devices into groups to streamline network management and optimize resource utilization, including |
Keywords | IoT; DCOPA; Clustering; Data Communication; Energy Efficiency; Multi-criteria Analysis; Dynamic Weights of Criteria; VPI |
Year | 2024 |
Journal | Expert Systems with Applications |
Journal citation | 247, pp. 1-23 |
Publisher | Elsevier |
ISSN | 1873-6793 |
0957-4174 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.eswa.2024.123212 |
Web address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S0957417424000770 |
Accepted author manuscript | License File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 19 Jan 2024 |
Publication process dates | |
Accepted | 09 Jan 2024 |
Deposited | 16 Jan 2024 |
https://repository.derby.ac.uk/item/q3z02/novel-adaptive-dcopa-using-dynamic-weighting-for-vector-of-performances-indicators-optimization-of-iot-networks
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Accepted author manuscript
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