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

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.