Efficient Stable Cluster Management Model for NDN Heterogeneous Vehicular Ad Hoc Networks

In vehicular networks, the ESCMM model employs software-defined vehicles (SDVN) and Named Data Networks (NDN), which provide an alternative approach to retrieving and communicating content. This model uses cluster heads (CH) as secondary CH mechanisms which are used to reduce transmission delays while maintaining content distribution stability using the SDN controllers. Keeping the network stable and reducing transmission delays is achieved using this dual-channel system. The proposed routing protocol is designed to reduce DSRC traffic and maximize data transmission by categorizing data packets according to the type of application, particularly for video streaming. The model implemented in ns3 with C++ and Python on Ubuntu OS shows significant performance improvements. Compared with existing protocols (MBNV, ONCM, DOCH), ESCMM achieves the highest packet delivery ratio (93%), network throughput 282.12 Kbps, and energy efficiency 586.84 Joules, but also has the lowest average delay 83.25, and road costs 417 parcels. These results highlight the effectiveness of ESCMM model in improvising reliability, efficiency, and resource utilization in Vehicular Ad hoc Networks (VANET) environments, making it a promising solution for advanced vehicular communication systems.