@InProceedings{SilvaSennVija:2014:OpMeAp,
author = "Silva, Marlon da and Senne, Edson Luiz Fran{\c{c}}a and
Vijaykumar, Nandamudi Lankalapalli",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Optimization Methods Applied to Nonlinear Signal Interference
Models",
booktitle = "Proceedings...",
year = "2014",
organization = "International Conference on Engineering Optimization, 4.",
keywords = "wireless mesh networks, optimization methods.",
abstract = "In wireless mesh networks, it is important to establish the
transmission capacity of the links, taking into account the
presence of noise that interferes with the transmission and
consequently degrades the signal sent from one device to another.
This signal degradation is calculated from interference models,
such as SNR (Signal-to-Noise Ratio), SIR (Signal-to-Interference
Ratio) and SINR (Signal-to-Interference-plus-Noise Ratio). In
these models, the link capacity is calculated according to a
decreasing of power levels, depending on the noise or interference
present, which needs to be adjusted to acceptable levels, in order
to avoid committing the signal emission besides not causing health
damage to people close to the device. Different models can be used
to estimate the noise present in an environment. In wireless
transmission, however, it is possible to calculate the noise by
means of nonlinear equations, which are able to estimate the
interference levels present in the network links. From these
elements, it is possible to maximize the capacity of the network
links, using models of nonlinear programming. As these models are
difficult to be solved analytically, this work compares the
results of different nonlinear programming models, based on the
main interference models, with the results obtained by a classical
approach for solving nonlinear models: The simulated annealing
metaheuristic. In this paper, it will analyze the behavior of the
heuristic algorithm, regarding the quality of the solution
obtained and the processing time, as the network size increases.",
conference-location = "Lisboa",
conference-year = "2014",
label = "lattes: 9331509602982993 1 SilvaSennVija:2014:OpMeAp",
language = "en",
targetfile = "2014b-Silva-etal.pdf",
urlaccessdate = "27 abr. 2024"
}