| Abstract |
Due to high hop counts and complex inter-domain handover processing, the existing Distributed Mobility Management(DMM) framework in smart cities suffers from moderate delay and reliability issues during the handoff process in critical environments. These challenges hinder network efficiency, increasing latency, packet delivery costs, and reconfiguration requirements. In the present work, we proposed a novel Network Mobility Basic Support Protocol (NEMO BSP) with Segment Routing (SR) approach to enhance the network performance in distributed mobility management environments. The Segment Routing (SR) is integrated with existing network mobility methods to enhance performance. Also, we have proposed an algorithm NEMO-SR to reduce the hop count for data transmission. In previous research, the authors have reported various routing methods. However, the existing network mobility and routing methods mainly focus on the distributed mobility scheme of routers, which can improve performance to a certain extent. However, the segment routing-based distributed network mobility system can improve performance by optimizing the number of hop counts. SR enables optimized path selection and minimizes the overhead by reducing hop counts and reconfiguration needs. Thus, the proposed method can improve the key performance metrics such as Packet Delivery Cost (PDC), Latency, Tunnel Creation Rate (TCR), and Throughput. The proposed model introduces SR-specific tuning factors, which perform adaptive optimization and adjust the impact of SR on network metrics according to real-time conditions. This adaptive tuning is instrumental in high-mobility environments and data-intensive networks typical of 5G and Beyond 5G systems. SR minimizes signaling overhead and improves resource efficiency by effectively reducing the need for frequent tunnel reconfigurations. The performance of the proposed method is compared with the existing methods to analyze the performance. For the validation, both numerical analysis and simulation results were developed. The results prove that the proposed method supports mobility more efficiently, and the performance of the proposed method improves in terms of throughput, latency, PDC, and other parameters. © 2025 |
