A WLAN planning proposal through computational intelligence and genetic algorithms hybrid approach

Araújo, Jasmine Priscyla Leite de; Rodrigues, Josiane; Fraiha, Simone G. C.; Gomes, Cristiane Ruiz; Cavalcante, Gervásio P. S.; Francês, Carlos Renato Lisboa

doi:10.1145/1506270.1506322

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…The optimization process basically aims at a minimal computational effort, as well as maximizing advantages of the project [13]. That is, it searches for solutions that result in the minimal and maximal values of the cost function (or loss function).…”

Section: Introductionmentioning

confidence: 99%

Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm

Neto

Araújo

Mota

et al. 2019

J. Microw. Optoelectron. Electromagn. Appl.

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In this work is presented a hybrid bioinspired optimization technique that associates a General Regression Neural Network (GRNN) with the Multiobjective Bat Algorithm (MOBA), for the design and synthesis of the Frequency Selective Surfaces (FSS), aiming its application in data communication systems by diffusion of millimeter waves, specifically, in the IEEE 802.15.3c standard. The designed device consists of planar arrangements of metallizations (patches), diamond-shaped, arranged over a RO4003 substrate. The FSS proposed in this study presents an operation with ultra-wide band characteristics, its patch designed to cover the range of 40.0 GHz at 70.0 GHz, i.e., 30.0 GHz bandwidth and 60.0 GHz resonance. The upper and lower cutoff frequencies, referring to the transmission coefficient's scattering matrix (dB), were obtained at the cutoff threshold at-10dB, to control the bandwidth of the device.

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Section: Introductionmentioning

confidence: 99%

Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm

Neto

Araújo

Mota

et al. 2019

J. Microw. Optoelectron. Electromagn. Appl.

Self Cite

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“…Thus, methods based on meta-heuristics arise as an alternative for reaching near-optimal solutions with greater speed and flexibility. The genetic algorithms (GAs), for instance, have been widely employed for handling with WLAN related problems [7], [8], [4], [9]. In addition, the GAs are more scalable and they can be adapted to solve problems of different dimensions.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective planning of wireless local area networks (WLAN) using genetic algorithms

Lima

Carrano

Takahashi

2012

2012 IEEE Congress on Evolutionary Computation

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A new approach for wireless local area network (WLAN) installation planning is proposed in this paper. This approach is based on a multiobjective genetic algorithm and on greedy algorithms, and it is composed of two steps: network structure design and channel assignment. In the first step, the quantity, position and load balance of the access points are planned taking into account a minimum coverage level, the AP capacity and the traffic demand in the WLAN. In the second step, the channel of each access point is assigned in such a way that the network presents minimal interference and high throughput. An approximation of the efficient solution set, taking into account two design criteria, is delivered by the proposed algorithm. These solutions can be used to provide cost reduction and quality improvement on WLAN design. Results obtained by the proposed algorithm in two reasonable scenarios are presented in order to evaluate its efficacy.U.S. Government work not protected by U.S.

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Hybrid multicriteria algorithms applied to structural design of wireless local area networks

et al. 2018

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A WLAN planning proposal through computational intelligence and genetic algorithms hybrid approach

Cited by 4 publications

References 16 publications

Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm

Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm

Multiobjective planning of wireless local area networks (WLAN) using genetic algorithms

Hybrid multicriteria algorithms applied to structural design of wireless local area networks

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