IMPROVING TRANSPORT PERFORMANCE OF NAMED DATA NETWORKING THROUGH LABEL SWITCHING AND ADAPTIVE TRANSPORT METHODS

Authors

  • Hadis Rezaei Department of Computer Engineering, Science and Research Tehran Branch, Tehran, Iran
  • Sahar Sadeghi Department of Computer Engineering, Science and Research Tehran Branch, Tehran, Iran
  • Leila Badeli Department of Computer Engineering, Science and Research Tehran Branch, Tehran, Iran

Keywords:

Named Data Networking (NDN), Label Switching, Adaptive Transport Methods, Content Store (CS), Pending Interest Table (PIT), Forwarding table (FIB), Naming Label Switching (NLS)

Abstract

Named Data Networking (NDN) is a new internet architecture that focuses on data names instead
of locations. This paper proposes an approach to improve the performance of NDN networks by combining
label switching with adaptive transport methods. The approach involves three steps: interface coloring,
interface ranking, and selecting the best interface for forwarding interest packets. The proposed method was
evaluated, and the results showed an improvement in response time, throughput, and data recovery time by
12%, 10%, and 5%, respectively. The paper provides an overview of NDN network forwarding, including the
use of Content Store (CS), Pending Interest Table (PIT), and forwarding table (FIB) to maintain information
about the status of suspended interests. The study also discusses the use of Naming Label Switching (NLS) to
reduce the total time for packet forwarding. The proposed approach provides a systematic and efficient method
to optimize the performance of NDN networks.

Published

2022-04-11

How to Cite

Hadis, R., Sahar, S., & Leila, B. (2022). IMPROVING TRANSPORT PERFORMANCE OF NAMED DATA NETWORKING THROUGH LABEL SWITCHING AND ADAPTIVE TRANSPORT METHODS. SADI International Journal of Science, Engineering and Technology (SIJSET), 9(2), 14–23. Retrieved from https://sadijournals.org/index.php/SIJSET/article/view/241

Issue

Section

Original Peer Review Articles