A Comparative Study of Multiobjective Evolutionary Algorithms for Wireless Local Area Network Design
A Comparative Study of Multiobjective Evolutionary Algorithms for Wireless Local Area Network Design
Marlon Lima, Rafael Alexandre, Ricardo Takahashi and Eduardo Carrano
Marlon Lima, Rafael Alexandre, Ricardo Takahashi and Eduardo Carrano
Graduate Program in Electrical Engineering - Universidade Federal de Minas Gerais, Brazil
Department of Computing and Systems - Universidade Federal de Ouro Preto, Brazil
Department of Mathematics - Universidade Federal de Minas Gerais, Brazil
Graduate Program in Electrical Engineering - Universidade Federal de Minas Gerais, Brazil
Department of Computing and Systems - Universidade Federal de Ouro Preto, Brazil
Department of Mathematics - Universidade Federal de Minas Gerais, Brazil
This manuscript presents a comparative study between three Multiobjective
Evolutionary Algorithms (NSGA-II, GDE3, and MOEA/D-DE) on Wireless Local Area
Networks design. The considered problem consists on defining the positions,
quantity, channels, and load balance of access points to be installed. Problem
features such as equipment limitations, traffic demand, and minimum coverage
level required are modeled as constraints. The used algorithms were tested in
two scenarios, considering different network profiles. The results show that
the developed approach for WLAN planning can help a network designer to define
good Wi-Fi projects, improving the signal level, network balance, and reducing
interference.
