a Robust Distributed Localization Algorithm for Wireless Sensor Networks Based on Robust Functions

Authors

  • Ivan Enrique Faudoa Silva Estudiante
  • Juan Cota Ruiz
  • Boris jesús Mederos Madrazo
  • Rafael Eliecer González Landaeta
  • José David Díaz Roman

Keywords:

Optimization, Localization, OptimizationWSN, Robust Functions.

Abstract

This research presents a distributed and low-complexity algorithm for range-based localization in wireless sensor networks (WSNs). The proposed method uses robust functions suitable to avoid outliers derived from corrupted estimated distances among sensor nodes, under the RSSI technique. The accuracy of the proposed algorithm was tested using noisy distance measurements between sensor nodes, deployed arbitrarily on a 2-D area of 100 m x 100 m. Results show a good accuracy performance on position estimates   when it is compared with others state of the art algorithms.

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Author Biographies

Ivan Enrique Faudoa Silva, Estudiante

Iván Faudoa received his degree in digital systems and communications from the Autonomous University of Ciudad Juárez in 2014. He was head on maintenance and electrical support department at Hanon Systems. He is currently a student of the master's degree in electrical engineering at the Autonomous University of Ciudad Juárez. He has presented conferences and articles in different congresses of national level. His main areas of focus are wireless sensor networks, VLSI circuit design and embedded systems.

Juan Cota Ruiz

Juan Cota received his Ph.D. in Electrical and Computer Engineering at the University of Texas at El Paso (UTEP), in 2011. Currently, he works as a full research professor at the Autonomous University of Ciudad Juarez (UACJ) Mexico, since 2003. He has national and international publications on the fields of electrical engineering, and he is holder of a national patent. His current research interests include Wireless Sensor Networks, Smart Sensors, Numerical Optimization, and Control

Boris jesús Mederos Madrazo

Boris Jesus Mederos Madrazo received the B.S from the Universidad Central Marta Abreu de las Villas, Santa Clara, Cuba, the M.Sc. and Ph.D. degree in Mathematics from the Instituto Nacional de Matemática Puera e Aplicada (IMPA), Rio de Janeiro, Brazil. Fro, 2005 to 2006, he was a post-doc at the Computer Science Department of the University of California at Davis (UC Davis). Dr. Mederos is currently with the Department of Física y Matemáticas at the Universidad Autónoma de Ciudad Juárez. His current teaching and research interests include pattern recognition, machine learning, medical image processing, image restoration, and surface reconstruction.

Rafael Eliecer González Landaeta

Rafael González received the Engineer in Electronics degree in 1997 from the Rafael Belloso Chacín University, Maracaibo, Venezuela, and the Ph.D. in Biomedical Engineering degree in 2008 from the Universitat Politcènica de Catalunya, Barcelona, Spain. He has been Associated Professor at the Francisco de Miranda University, Coro, Venezuela, since 1999, teaching courses in analog electronic and biomedical sensors. Currently he is working at the Department of Computer and Electrical Engineering, UACJ (Universidad Autónoma de Ciudad Juárez), Mexico. His current research areas include biomedical sensors and analog signal processing, noise and interference in electronic circuits and noninvasive physiological measurement

José David Díaz Roman

José Díaz was born in Venezuela in 1976. He got an Electronic Engineer degree at the Polytechnic Institute of the National Armed Forces (Maracay, Venezuela) in 1997. He received his Ph.D degree in 2008 from Simón Bolívar University (Caracas, Venezuela). Between 1998 and 2016 he was part of the Electromedicine - Biomedical Engineering Program of the National Experimental University Francisco de Miranda in Coro, Venezuela. He is currently Professor attached to the Department of Electrical Engineering and Computing of the Autonomous University of Ciudad Juárez, Chihuahua, Mexico. His interest in teaching and research includes: Electronic and Biomedical Instrumentation, Analog and Digital Signal Processing, and Artificial Intelligence as a classification and prediction tool.

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Published

2019-08-16

How to Cite

Faudoa Silva, I. E., Cota Ruiz, J., Mederos Madrazo, B. jesús, González Landaeta, R. E., & Díaz Roman, J. D. (2019). a Robust Distributed Localization Algorithm for Wireless Sensor Networks Based on Robust Functions. IEEE Latin America Transactions, 16(12), 2977–2986. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/276

Issue

Vol. 16 No. 12 (2018): Ordinary Issue

Section

Articles