RT Journal Article
T1 Analysis of the Refined Mean-Field Approximation for the 802.11 Protocol Model
A1 Ispizua, Begoña
A1 Doncel, Josu
AB Mean-field approximation is a method to investigate the behavior of stochastic models formed by a large number of interacting objects. A new approximation was recently established, i.e., the refined mean-field approximation, and its high accuracy when the number of objects is small has been shown. In this work, we consider the model of the 802.11 protocol, which is a discrete-time model and show how the refined mean-field approximation can be adapted to this model. Our results confirm the accuracy of the refined mean-field approximation when the model with N objects is in discrete time.
SN 1424-8220
YR 2022
FD 2022-11
LK https://hdl.handle.net/11556/4185
UL https://hdl.handle.net/11556/4185
LA eng
NO Ispizua , B & Doncel , J 2022 , ' Analysis of the Refined Mean-Field Approximation for the 802.11 Protocol Model ' , Sensors , vol. 22 , no. 22 , 8754 . https://doi.org/10.3390/s22228754
NO Publisher Copyright: © 2022 by the authors.
NO The work of Josu Doncel has been supported by the Department of Education of the Basque Government, Spain, through the Consolidated Research Group MATHMODE (IT1456-22) and by the Marie Sklodowska-Curie, grant agreement number 777778.
DS TECNALIA Publications
RD 29 sept 2024