A three-dimensional localization algorithm for wireless sensor networks using artificial neural networks | IEEE Conference Publication | IEEE Xplore

A three-dimensional localization algorithm for wireless sensor networks using artificial neural networks


Abstract:

Wireless Sensor Networks (WSNs) are being deployed in a variety of location-aware applications, where the measurement of data is meaningless without accurate location. Ma...Show More
Notes: Due to a production error this article was mistakenly excluded from the original submission to Xplore.

Abstract:

Wireless Sensor Networks (WSNs) are being deployed in a variety of location-aware applications, where the measurement of data is meaningless without accurate location. Many localization algorithms have been proposed in the literature. However, localization in threedimensional (3D) space has not been studied sufficiently. Also, artificial neural networks are not commonly used in localization. In this paper, we present a 3D localization algorithm for wireless sensor networks using artificial neural networks. In the proposed scheme, the idea of the 2D localization using neural network is extended to achieve a 3D localization with simplicity, location accuracy, mobility, and low cost. The simulation results depict the performance and the effectiveness of the proposed approach.
Notes: Due to a production error this article was mistakenly excluded from the original submission to Xplore.
Date of Conference: 08-11 October 2012
Date Added to IEEE Xplore: 11 January 2014
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Conference Location: Las Vegas, NV, USA