A Frequency-Based Quality of Service Strategy for Named Data Networks

Named Data Networking (NDN) is an evolution of IP networks with an architecture based on content names and centered around the consumer. It leverages inherent features such as in-network caching and Interest aggregation to optimize resource utilization. As NDN is increasingly applied in diverse domains, such as vehicular networks (VANETs), the Internet of Things (IoT), and e-health, support for Quality of Service (QoS) becomes critical to ensure the timely and prioritized delivery of Data, especially for real-time and mission-critical applications. However, conventional QoS mechanisms designed for IP networks are unsuitable for NDN due to fundamental differences in architecture: IP is session-based and end-toend, whereas NDN is distributed, opportunistic, and contentoriented. To address this gap, we propose FQS-NDN, a novel Frequency-based QoS Strategy for NDN that prioritizes Interest and Data packets based on their generation and reception frequency. Our approach extends the default NDN forwarding behavior by introducing dynamic prioritization mechanisms that improve responsiveness and reduce latency in real-time scenarios. Preliminary evaluations with the ndnSIM simulator demonstrate the effectiveness of the proposed strategy in improving service differentiation and forwarding efficiency.