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Enhanced Path Reliability of Contact Graph Routing through a Cognitive Extension

Authors:
Ricardo Lent

Keywords: delay-tolerant networking; routing; reliability; performance evaluation; cognitive networking

Abstract:
Delay-Tolerant Networking allows forwarding data bundles over space networks whose dynamics create a disconnected state for extended periods. Routing in such an environment is challenging and central for effective end-to-end data delivery. In this study, we enhance the routing accuracy Contact Graph Routing (CGR) by introducing a Cognitive Element (CE). The core idea revolves around establishing a data-driven methodology where the CE uses regression based on selected inputs to estimate the average single-hop bundle delivery time. This estimation is then integrated into the time progression step of CGR's shortest-path algorithm. By doing so, one-hop bundle times can be accurately predicted, taking into account various factors such as, specific Convergence Layer Adapter (CLA) behavior, configuration parameters, and random factors like the probability of packet drops and the use of unreliable contacts. The end result is a performance enhancement for bundle paths. The paper evaluates the idea from an implementation-agnostic perspective, assessing the performance advantages of using the CE with CGR. Additionally, the study assesses the potential performance degradation associated with reduced prediction accuracy, which may arise due to partial data or limitations of the regression model. The evaluation is carried out using a simulated Earth-Moon network context, with realistic values for contact features and considering unreliable contacts. The study provides insights into the practical implications of the proposed approach.

Pages: 7 to 12

Copyright: Copyright (c) IARIA, 2024

Publication date: May 26, 2024

Published in: conference

ISSN: 2308-4480

ISBN: 978-1-68558-178-7

Location: Barcelona, Spain

Dates: from May 26, 2024 to May 30, 2024