会议专题

Using BP Neural Network Algorithm Improve the Prediction Accuracy of Distance between ZigBee

This paper proposes that we can improve the accuracy of the distance between ZigBee with the algorithm of BP neural network. Firstly, we analyze the wireless signaling path loss model, the principle of measuring distance based on RSSI, and the algorithm of BP neural network fully. Secondly, we get the experimental data from the hardware platform of ZigBee. Finally, we use the algorithm of BP neural network to emulate and analyze the experimental data. Based on the results of the emulation and analysis, the maximum error of the distance prediction within 120m is 7.62%, with the prediction accuracy improved significantly.

ZigSee RSSI Back-Propagation Neural Network the accuracy of distance prediction

Zhang Xuhui Jia Junfeng Wei Jiaxin Zhao Yingjie

The higher educational key laboratory for Measuring & Control Technology and Instrument of Heilongjiang Province,(Harbin University of Science and Technology), Harbin 150080, China

国际会议

2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

深圳

英文

790-794

2011-03-28(万方平台首次上网日期,不代表论文的发表时间)