Anchor-Less Producer Mobility Management in Named Data Networking for Real-Time Multimedia

TL;DR

This paper proposes an anchor-less mobility management approach for Named Data Networking that uses location prediction to enable seamless handovers in real-time multimedia communication, reducing latency without added network overhead.

Contribution

It introduces a novel anchor-less mobility management method leveraging location prediction to improve producer handover in NDN for real-time multimedia.

Findings

Reduces handover latency significantly.

Maintains low round trip time during mobility.

Operates effectively with low location prediction accuracy.

Abstract

Information-centric networking (ICN) is one of the promising solutions that cater to the challenges of IP-based networking. ICN shifts the IP-based access model to a data-centric model. Named Data Networking (NDN) is a flexible ICN architecture, which is based on content distribution considering data as the core entity rather than IP-based hosts. User-generated mobile contents for real-time multimedia communication such as Internet telephony are very common these days and are increasing both in quality and quantity. In NDN, producer mobility is one of the challenging problems to support uninterrupted real-time multimedia communication and needs to be resolved for the adoption of NDN as future Internet architecture. We assert that mobile nodes' future location prediction can aid in designing efficient anchor-less mobility management techniques. In this article, we show how location prediction techniques can be used to provide an anchor-less mobility management solution in order to ensure seamless handover of the producer during real-time multimedia communication. The results indicate that with a low level of location prediction accuracy, our proposed methodology still profoundly reduces the total handover latency and round trip time without creating network overhead.