RT Journal Article
T1 Energy-efficient reprogramming in wsn using constructive neural networks.
A1 Urda, Daniel
A1 Cañete, Eduardo
A1 Subirats Contreras, José Luis
A1 Franco, Leónardo
A1 Llopis-Torres, Luis Manuel
A1 Jerez-Aragonés, José Manuel
K1 Redes neuronales (Informática)
AB In this paper, we propose the use of neural based technologies to carry out the dynamic reprogramming of wireless sensor networks as an alternative to traditional methodology. An analysis an comparison of the energy cost involved in reprogramming wireless sensor networks was done using rule-based programming (TP) standard feeforward neural networks (FF), and the C-Mantec (CM) algorithm, a novel method based on constructive neural networks. The simulation results, first performed on array of sensor networks under COOJA simulator (considering best, medium and worst case scenarios for three benchmark problems) and finally evaluated on a case os study with identical conditions, show that the use of neural network based methodoligies (FF & CM) produces a significant saving in resources, measured by the number of packets transmitted, the energy consumed and the time needed to reprogram the sensors.
PB International Journal of Innovative Computing, Information and Control
SN 1349-4198
YR 2012
FD 2012-11
LK https://hdl.handle.net/10630/30147
UL https://hdl.handle.net/10630/30147
LA eng
NO Muñoz, D. U., Carmona, E. C., Contreras, J. L. S., Franco, L., Torres, L. M. L., & Aragonés, J. M. J. (2012). Energy-efficient reprogramming in WSN using constructive neural networks. International Journal of Innovative Computing, Information and Control, 8(11), 7561–7578.
NO Dear Dr. Jose Luis Subirats Contreras,Thank you for your contribution to IJICIC.You are welcomed to refer your paper in anyways.Kind regards,Dr. Yan SHI Fellow, The Engineering Academy of JapanExecutive Editor, IJICIC (http://www.ijicic.org) (indexed by ESCI, Ei Compendex, Scopus, INSPEC) Professor, Graduate School of Science and Technology, Tokai University Professor, School of Industrial and Welfare Engineering, Tokai University 9-1-1, Toroku, Higashi-ku, Kumamoto 862-8652, Japan Tel. & Fax: +81-96-386-2666 E-mail: yshi@ktmail.tokai-u.jp.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 28 feb 2026