AN ADAPTIVE LOCALIZATION ALGORITHM BASED ON ARTIFICIAL NEURAL NETWORK METHOD FOR WSN

Full Article - PDF

Published: 2015-08-27

Page: 279-287


ASMAA LABYAD *

Laboratory LaRIT, Team Network and Telecommunication, Ibn Tofail University Kenitra, Morocco

HATIM KHARRAZ AROUSSI

Laboratory LaRIT, Team Network and Telecommunication, Ibn Tofail University Kenitra, Morocco

ABDELAAZIZ MOULOUDI

Laboratory LaRIT, Team Network and Telecommunication, Ibn Tofail University Kenitra, Morocco

*Author to whom correspondence should be addressed.


Abstract

Wireless sensor networks are topologically similar to artificial neural networks (ANN). The similarity between these topologies makes WSN a good candidate for implementing the parallel and distributed processing of ANNs.

In this paper we are proposing to employ a single layer Morphological Perceptrons (SLMP) artificial neural network method with the objective of finding solutions for problems of localization in WSN. The SLMP method that has been emerging for the ANN will be leveraged to conceptualize, design and develop the WSN architecture. In this work we take advantage of the topological resemblance between WSN and ANN for implement an improved Centroid localization algorithm called CSLMP based on SLMP method for WSN.

Keywords: WSN, ANN, localization algorithm, SLMP, centroid


How to Cite

LABYAD, A., AROUSSI, H. K., & MOULOUDI, A. (2015). AN ADAPTIVE LOCALIZATION ALGORITHM BASED ON ARTIFICIAL NEURAL NETWORK METHOD FOR WSN. Asian Journal of Mathematics and Computer Research, 6(3), 279–287. Retrieved from https://ikprress.org/index.php/AJOMCOR/article/view/283

Downloads

Download data is not yet available.