Optimal prediction tool for wireless LAN using genetic algorithm and neural network concept

Chen, Shih-An; Lee, Yang-Han; Yen, Rainfield Y.; Zheng, Yujie; Ko, Chih-Hui; Sheu, Shiann-Tsong; Chen, Meng-Hong

doi:10.1109/apcc.1999.825020

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Genetic Algorithms1

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2012

2024

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Cited by 5 publications

(1 citation statement)

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“…Thanks to their versatility, they can be used in different fi elds and fi nd a lot of applications in wireless network optimization problems [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”

Section: Genetic Algorithmsmentioning

confidence: 99%

The safety/security/communication wireless lan of the underground gran sasso mountain national laboratories of the italian institute of nuclear physics

Garzia¹,

Cusani²

2012

Int. J. SAFE

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Wireless networks are very useful in mobile services. In particular environments, such as the underground Gran Sasso mountain National Laboratories of the Italian Institute of Nuclear Physics they represent a vital resource for safety/security/communication. The purpose of this paper is to illustrate the design procedure, based on genetic algorithm, which has been used to design the mentioned wireless network, guaranteeing a high level of performances and reliability.

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