Cargando…

Paraconsistent Annotated Logic Algorithms Applied in Management and Control of Communication Network Routes

This paper presents a computational method based on non-classical logic dedicated to routing management and information stream control in communication networks. Paraconsistent logic (PL) was used to create an algorithmic structure whose main property is to accept contradiction. Moreover, a computat...

Descripción completa

Detalles Bibliográficos
Autores principales: Da Silva Filho, João Inácio, Abe, Jair Minoro, Marreiro, Alessandro de Lima, Martinez, Angel Antonio Gonzalez, Torres, Cláudio Rodrigo, Rocco, Alexandre, Côrtes, Hyghor Miranda, Mario, Mauricio Conceição, Pacheco, Marcos Tadeu Tavares, Garcia, Dorotéa Vilanova, Blos, Maurício Fontoura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234040/
https://www.ncbi.nlm.nih.gov/pubmed/34202958
http://dx.doi.org/10.3390/s21124219
Descripción
Sumario:This paper presents a computational method based on non-classical logic dedicated to routing management and information stream control in communication networks. Paraconsistent logic (PL) was used to create an algorithmic structure whose main property is to accept contradiction. Moreover, a computational structure, the denominated paraconsistent data analyzer (PDA(PAL2v)), was constructed to perform routing management in communication networks. Direct comparisons of PDA(PAL2v) with a classical logic system that simulates routing conditions were made in the laboratory. In the conventional system, the paraconsistent algorithms were considered as binary logic gates, and in the tests, the same adjustment limits of PDA(PAL2v) were applied. Using a database with controlled insertion of noise, we obtained an efficacy of 97% in the detection of deteriorated packets with PDA(PAL2v) and 72% with the conventional simulation system. Functional tests were carried out, showing that PDA(PAL2v) is able to assess the conditions and degradation of links and perform the analysis and correlation of various inputs and variables, even if the signals have contradictory values. From practical tests in the laboratory, the proposed method represents a new way of managing and controlling communication network routes with good performance.