Wireless Mesh Networks (WMNs) are gaining an increasingly important
role in next generation last mile access. They offer more
flexibility compared to traditional networks but on the expense of
a complex structure. Thus, planning and optimization of WMNs is
a challenge. In this paper we focus on routing and channel assignment
in WMNs for throughput maximization using genetic algorithms.
Genetic algorithms provide a good solution for large-scale
WMNs in relatively small computation time. The results prove the
effectiveness of the genetic operators and show the advantages of
a genetic optimization. However, these operators have to be configured
carefully to avoid local optima. We will show the influence
of the selection principles as well as evaluation functions on the
optimization.
%0 Conference Paper
%1 info3-inproceedings-2009-349
%A Pries, Rastin
%A Staehle, Dirk
%A Stoykova, Marieta
%A Staehle, Barbara
%A Tran-Gia, Phuoc
%B IWCMC 2009 Planning and Optimization of Wireless Communication Networks (PlanNet)
%C Leipzig, Germany
%D 2009
%K myown
%T A Genetic Approach for Wireless Mesh Network Planning and Optimization
%X Wireless Mesh Networks (WMNs) are gaining an increasingly important
role in next generation last mile access. They offer more
flexibility compared to traditional networks but on the expense of
a complex structure. Thus, planning and optimization of WMNs is
a challenge. In this paper we focus on routing and channel assignment
in WMNs for throughput maximization using genetic algorithms.
Genetic algorithms provide a good solution for large-scale
WMNs in relatively small computation time. The results prove the
effectiveness of the genetic operators and show the advantages of
a genetic optimization. However, these operators have to be configured
carefully to avoid local optima. We will show the influence
of the selection principles as well as evaluation functions on the
optimization.
@inproceedings{info3-inproceedings-2009-349,
abstract = {Wireless Mesh Networks (WMNs) are gaining an increasingly important
role in next generation last mile access. They offer more
flexibility compared to traditional networks but on the expense of
a complex structure. Thus, planning and optimization of WMNs is
a challenge. In this paper we focus on routing and channel assignment
in WMNs for throughput maximization using genetic algorithms.
Genetic algorithms provide a good solution for large-scale
WMNs in relatively small computation time. The results prove the
effectiveness of the genetic operators and show the advantages of
a genetic optimization. However, these operators have to be configured
carefully to avoid local optima. We will show the influence
of the selection principles as well as evaluation functions on the
optimization.
},
added-at = {2016-03-10T17:37:01.000+0100},
address = {Leipzig, Germany},
author = {Pries, Rastin and Staehle, Dirk and Stoykova, Marieta and Staehle, Barbara and Tran-Gia, Phuoc},
biburl = {https://www.bibsonomy.org/bibtex/2db022c36c381379261eddd1c8f537fa5/uniwue_info3},
booktitle = {IWCMC 2009 Planning and Optimization of Wireless Communication Networks (PlanNet)},
interhash = {bcf6a8200d2cf3d13fb6d952b5c23ad3},
intrahash = {db022c36c381379261eddd1c8f537fa5},
keywords = {myown},
month = {6},
timestamp = {2022-03-14T00:10:32.000+0100},
title = {A Genetic Approach for Wireless Mesh Network Planning and Optimization},
year = 2009
}