Comparative Analysis of Producer Mobility Management Approaches in Named Data Networking
Applied Sciences
Seamless management of producer mobility in named data networks (NDNs) has become an inherent requirement to satisfy the ever-increasing number of mobile user devices and the streaming of widespread real-time multimedia content. In this paper, we first classify the various producer mobility management (MM) schemes into four different approaches. Then, we select a representative scheme from each approach and conduct a comparative analysis between them to suggest the most suitable producer MM approach for a broad class of latency sensitive applications, such as video and audio streaming and broadcasting over NDNs. To assess and compare the efficiency and effectiveness of the representative schemes, we implemented them in the NDN defacto NdnSIM simulator and used the same network scenarios and mobility settings. The results show the superiority of the producer MM scheme that follows the data plane-based approach, which yielded lower data loss rates, lower data delivery delays and lower signaling overheads.
Internet of Things (IoT) networks’ wide range and heterogeneity make them prone to cyberattacks. Most IoT devices have limited resource capabilities (e.g., memory capacity, processing power, and…
Machine Learning (ML) has been exploited across diverse fields with significant success. However, the deployment of ML models on resource-constrained devices, such as edge devices, has remained…
One of the most promising applications for electroencephalogram (EEG)-based brain–computer interfaces (BCIs) is motor rehabilitation through motor imagery (MI) tasks. However, current MI training…