DocumentCode :
1654688
Title :
Optimal prediction tool for wireless LAN using genetic algorithm and neural network concept
Author :
Chen, Shih-An ; Lee, Yang-Han ; Yen, Rainfield Y. ; Zheng, Yu-Jie ; KO, Chih-Hui ; Sheu, Shiann Tsong ; Chen, Meng-Hong
Author_Institution :
Dept. of Electr. Eng., TamKang Univ., Taipei, Taiwan
Volume :
1
fYear :
1999
Firstpage :
786
Abstract :
A novel wireless LAN prediction tool using a genetic algorithm and a neural network has been implemented and tested. This prediction tool uses measurement and calibration data to increase the accuracy of signal strength prediction. Moreover, we utilize the genetic algorithm to calculate the environment parameter to shorten the prediction time and simplify the prediction process. In our method, we only use wireless LAN cards and notebooks to complete the prediction work without using any complex equipment.
Keywords :
genetic algorithms; neural nets; notebook computers; radiowave propagation; telecommunication computing; wireless LAN; calibration data; environment parameter; genetic algorithm; measurement data; multipath effect; neural network; notebooks; optimal prediction tool; prediction time; radio wave propagation environment; signal strength prediction accuracy; wireless LAN; wireless LAN cards; Building materials; Calibration; Computational modeling; Genetic algorithms; Neural networks; Neurons; Propagation losses; Q measurement; Testing; Wireless LAN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 1999. APCC/OECC '99. Fifth Asia-Pacific Conference on ... and Fourth Optoelectronics and Communications Conference
Conference_Location :
Beijing, China
Print_ISBN :
7-5635-0402-8
Type :
conf
DOI :
10.1109/APCC.1999.825020
Filename :
825020
Link To Document :
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