DocumentCode :
672799
Title :
A three-dimensional localization algorithm for wireless sensor networks using artificial neural networks
Author :
Abdelhadi, Mohammad ; Anan, Muhammad
Author_Institution :
Dept. of Electr. & Comput. Eng., Purdue Univ. Calumet, Hammond, IN, USA
Volume :
Supplement
fYear :
2012
fDate :
8-11 Oct. 2012
Firstpage :
1
Lastpage :
5
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.
Keywords :
mobility management (mobile radio); neural nets; wireless sensor networks; artificial neural networks; data measurement; location-aware applications; three dimensional space; three-dimensional localization algorithm; wireless sensor networks; Accuracy; Artificial neural networks; Mobile nodes; Sensors; Three-dimensional displays; Wireless sensor networks; 3D localization; Mobility; Neural Networks; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Adhoc and Sensor Systems (MASS), 2012 IEEE 9th International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-2433-5
Type :
conf
DOI :
10.1109/MASS.2012.6708519
Filename :
6708519
Link To Document :
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