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A Ranging Model Based on BP Neural Network



The traditional Shadowing model relies too much on parameters and specific environment, so its application occasions in WSN are restricted. This paper studies the wireless signal propagation model and proposes the ranging model based on BP neural network model, it has the ability of autonomous learning according to different environments, and can improve the precision of measuring distance, then enhance the adaptability to the environment. The simulation results show that the ranging model based on BP neural network model can reduce the ranging error, which has the adaptability to the environment.



Total Pages: 5
Pages: 325-329


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Volume: 22
Issue: 2
Year: 2015

Cite this document


Amro, Amena, Imad H. Elhajj, and Mariette Awad. "Energy-Aware Discrete Probabilistic Localization of Wireless Sensor Networks." Intelligent Automation & Soft Computing 19.3 (2013): 407-423. Crossref. Web.

Chen, Xiaohui et al. "A Node Localization Algorithm for Wireless Sensor Networks Using Distance Clustering to Select the Anchor Nodes." Sensor Letters 11.4 (2013): 745-748. Crossref. Web.

Hsu L. Journal of Aeronautics, Astronautics and Aviation, Series A

Li Y. Computing Technology.and.Automation

Li, X., Xu, Y. & Ren, F. (2007). Techniques for wireless sensor networks[m] . Beijing: Beijing Institute of Technology Press, 191–219.

Li P. Computer Applications and Software

Mao, Yingchi, Ambassa Joel Yves, and Feng Xu. "Delay-Bounded Data Forwarding in Low-Duty-Cycle Sensor Networks." Intelligent Automation & Soft Computing 18.7 (2012): 795-806. Crossref. Web.

Martusevieius V. Elektronika.Ir .Elektrothchnika

Sayed, A.H., A. Tarighat, and N. Khajehnouri. "Network-Based Wireless Location: Challenges Faced in Developing Techniques for Accurate Wireless Location Information." IEEE Signal Processing Magazine 22.4 (2005): 24-40. Crossref. Web.

Shi X. Computer measurement& Control

Fang, Shih-Hau, and Tsung-Nan Lin. "Indoor Location System Based on Discriminant-Adaptive Neural Network in IEEE 802.11 Environments." IEEE Transactions on Neural Networks 19.11 (2008): 1973-1978. Crossref. Web.

Zhang J. Chinese Journal of Sensors and Actuators

ACM SIGMOBILE Mobile Computing and Communications Review 11.1 (2007): n. pag. Crossref. Web.


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


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