Hybrid Mobility Management Framework for Seamless Communication in Named Data Networking

Traditional IP-based networks, while effective in static environments, struggle to accommodate the growing mobility demands of modern communication systems, especially in heterogeneous scenarios involving 4G/5G, Wi-Fi, and vehicular networks. This limitation has led to increased research interest in Information-Centric Networking (ICN), particularly Named Data Networking (NDN), which enables content retrieval based on names rather than locations. However, NDN faces critical challenges in managing producer mobility, often resulting in increased latency and routing inconsistencies. Addressing this gap, this research proposes a hybrid mobility management framework that leverages geolocation-based hub discovery, dynamic name resolution, and adaptive forwarding strategies to enable seamless communication in NDN across heterogeneous network environments. Implemented using Python and Flask, the system includes an HTTP API that redirects users to optimal hubs based on IP inference. Experimental evaluations demonstrate a 40–60% reduction in handover latency and significant improvements in data retrieval success rates and throughput consistency. This work contributes to the advancement of mobilityresilient architectures essential for IoT, smart cities, and vehicular communications.