Planning system for indoor wireless network

doi:10.1109/30.920422

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Journal Article > Item 987654321/46222

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Title:	Planning system for indoor wireless network
Authors:	Wu, Rong-hou;李揚漢;Lee, Yang-han;Chen, Shih-an
Contributors:	淡江大學電機工程學系
Date:	2001-02
Issue Date:	2010-03-26 21:20:32 (UTC+8)
Publisher:	New York: Institute of Electrical and Electronics Engineers (IEEE)
Abstract:	A novel wireless LAN prediction tool using the genetic algorithm and neural network has been proposed. We establish a site survey tool system to predict the received signal strength index (RSSI) in an indoor environment. The system includes six items. (1) The fading function: it corrects the functional characteristics of the RSSI for different types of wireless LAN cards in free space. (2) The setting of the attributes of obstacles in the indoor environment: the idea of a “single attribute of local area” is proposed. If there are the same obstacles in one area, we set the area as one attribute. (3) The genetic algorithm: where we use reproduction, crossover and mutation to obtain the propagation loss through the different obstacles (Li). (4) The neural network: we use neural network concept to correct the prediction error arising from the multipath effect in the indoor environment. (5) The auxiliary judgment for the sampling points: the method is helpful to users in establishing the best sampling points. (6) The calibration of prediction results: we use calibration to correct the prediction error arisen from Li
Relation:	IEEE transactions on consumer electronics 47(1), pp.73-79
DOI:	10.1109/30.920422
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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