Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 2 2020
Decision Routing Problems in A Wireless Sensor Network Based on A Neural Mechanism
Dublin Core
Title
Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 2 2020
Decision Routing Problems in A Wireless Sensor Network Based on A Neural Mechanism
Decision Routing Problems in A Wireless Sensor Network Based on A Neural Mechanism
Subject
artificial neural network (ANN); energy distance neural clustering protocol (EDNCP); Kohonen artificial neural network; matrix WSN clustering method; radio visibility matrix; routing protocols of wireless sensor networks; software-modeling medium; wireless sensor network (WSN).
Description
Abstract. This article proposes a solution for the routing problem in wireless sensor networks (WSN) based on a neural mechanism. The basic concepts of wireless sensor networks, artificial neural networks (ANNs), and WSN routing protocols are presented. The Kohonen ANN was selected to solve the problem of routing in wireless sensor networks based on a neural mechanism. A radio
visibility matrix is proposed, which is a mathematical description of the connectivity of network nodes and the radio visibility of each node with respect to all other network nodes. Based on the Kohonen ANN trained by the constructive method, a method for WSN neural network clustering was developed. Two software-modeling environments are presented that were created to confirm the theory with respect to the logic of the developed methods for WSN clustering, their correction and the verification of their adequacy. Numerical results of modeling the solution of the routing problem in a wireless sensor network based on a neural mechanism by neural network clustering, the WSN matrix clustering method and the energy distance neural clustering protocol (EDNCP) are presented. It was found that the developed EDNCP protocol was 29% more efficient than known analogs.
visibility matrix is proposed, which is a mathematical description of the connectivity of network nodes and the radio visibility of each node with respect to all other network nodes. Based on the Kohonen ANN trained by the constructive method, a method for WSN neural network clustering was developed. Two software-modeling environments are presented that were created to confirm the theory with respect to the logic of the developed methods for WSN clustering, their correction and the verification of their adequacy. Numerical results of modeling the solution of the routing problem in a wireless sensor network based on a neural mechanism by neural network clustering, the WSN matrix clustering method and the energy distance neural clustering protocol (EDNCP) are presented. It was found that the developed EDNCP protocol was 29% more efficient than known analogs.
Creator
Aybek Fayzullaevich Khaytbaev
Source
DOI: 10.5614/itbj.ict.res.appl.2020.14.2.2
Publisher
IRCS-ITB
Date
30 November 2020
Contributor
Sri Wahyuni
Rights
ISSN: 2337-5787
Format
PDF
Language
English
Type
Text
Coverage
Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 2 2020
Files
Collection
Citation
Aybek Fayzullaevich Khaytbaev, “Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 2 2020
Decision Routing Problems in A Wireless Sensor Network Based on A Neural Mechanism,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/3379.
Decision Routing Problems in A Wireless Sensor Network Based on A Neural Mechanism,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/3379.