Comparison of Performance Among Forwarding Strategies in CCN: Disaster Scenarios

Abstract

Content-Centric Networking (CCN) is a novel modern architecture for the Internet in the future. This architecture concentrates on content retrieval and dissemination solution for communication models. Forwarding strategies are decision-making strategies whose aim is to define the forwarding destination, i.e., where and when request packets will be redirected. They are considered as the most crucial component in a network environment because of their contribution to determining which strategy is suitable to adopt in accordance with the environment and the applications. These strategies have not been initially designed to support complex applications and interactions that require Interest packet send rate, CCN table sizing, refreshing Pending Interest Table (PIT), and Content Store (CS), such as disaster scenarios, social network, and smart applications. The goal of this work is to evaluate the performance of CCN forwarding strategies in disaster scenarios. A network simulator (i.e., ndnSIM) is utilized to measure the performance in many scenarios by modifying Interest packet rate, PIT size, and CS size. Evaluation results achieved after performing the study on the selected strategies are considerably enhanced for the metrics cache hit, PIT size, Interest retransmissions, number of hops, delay, and Interest delivery. The main significance of this work is that it formulates a universal rule as the main function, which can adopt a suitable forwarding strategy accurately in accordance with the PIT and CS conditions and Interest packet rate, thus leading to increased Interest packet satisfaction utilization without increasing Interest packet retransmission and response delay.
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