Implementing a real-time locating system based on wireless sensor networks and artificial neural networks to mitigate the multipath effect

Author

Tapia, Dante I. ; Alonso, Ricardo S. ; Rodriguez, Sara ; De La Prieta, F. ; Corchado, Juan M. ; Bajo, Javier

Author_Institution

Dept. of Comput. Sci. & Autom., Univ. of Salamanca, Salamanca, Spain

fYear

2011

fDate

5-8 July 2011

Firstpage

1

Lastpage

8

Abstract

Wireless Sensor Networks comprise an ideal technology to develop Real-Time Locating Systems (RTLSs) aimed at indoor environments, where existing global navigation satellite systems do not work correctly due to the blockage of the satellite signals. In this regard, one of the main challenges is to deal with the problems that arise from the effects of the propagation of radio frequency waves, such as multipath. This paper presents an innovative mathematical model for improving the accuracy of RTLSs, focusing on the mitigation of the multipath effect by using Multi-Layer Perceptron Artificial Neural Networks. The model is used to implement a novel indoor Real-Time Locating System based on Wireless Sensor Networks.

Keywords

multilayer perceptrons; radiowave propagation; real-time systems; telecommunication computing; wireless sensor networks; RTLS; global navigation satellite system; multilayer perceptron artificial neural network; multipath effect mitigation; radiofrequency wave propagation; real-time locating system; satellite signal blockage; wireless sensor network; Mathematical model; Real time systems; Receiving antennas; Reflection; Transmitting antennas; Wireless sensor networks; Wireless sensor networks; artificial neural networks; multipath effect; real-time locating systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on

Conference_Location

Chicago, IL

Print_ISBN

978-1-4577-0267-9

Type

conf

Filename

5977722