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

Area of Science:

• Computer Science
• Network Engineering
• Logic Systems

Background:

• Traditional communication network routing relies on classical logic, which struggles with contradictory or noisy data.
• Managing information streams and ensuring data integrity in complex networks presents significant challenges.

Purpose of the Study:

• To introduce a novel computational method for routing management and information stream control in communication networks.
• To develop and evaluate a paraconsistent data analyzer (PDA) capable of handling contradictory information.

Main Methods:

• Utilized paraconsistent logic (PL), a non-classical logic system that tolerates contradictions.
• Developed a paraconsistent data analyzer (PDA) computational structure for network routing.
• Compared PDA performance against a classical logic system using a noisy database.

Main Results:

• The PDA achieved 97% efficacy in detecting deteriorated packets, significantly higher than the 72% efficacy of the conventional system.
• PDA demonstrated the ability to assess link conditions, degradation, and correlate variables even with contradictory signal values.
• Functional tests confirmed PDA's robust performance in managing and controlling communication network routes.

Conclusions:

• Paraconsistent logic offers a promising approach for advanced routing management in communication networks.
• The developed PDA provides a high-performance solution for handling noisy and contradictory data in network traffic.
• This method represents a new paradigm for robust information stream control and network route optimization.