Improved Urban AODV Routing with Distributed Semi-Clustering Protocol for Vehicular Adhoc Network

The proposed UADSC protocol improves urban Ad hoc on-demand remote vector routing (AODV) routing with integrated routing and clustering protocol improvements for efficient edge computing networks. Improved reliability and connectivity are achieved through the integration of GPS-based weight estimation for next-hop selection. Like LEACH, the protocol uses Distributed Semi-Clustering Protocol (DSCP) with multi-hop data aggregation to save energy. The use of head selection that considers both distance and residual energy helps to optimize data routing back to the base station and enhances network stability. The protocol workflow facilitates route finding and maintenance in real-time, which ensures robust connectivity in a dynamic urban environment. This comprehensive model aims to improve network efficiency, energy efficiency, and overall reliability, which are critical for applications as diverse as the Internet of Things, autonomous vehicles, and smart city infrastructure. The following parameters are used to showcase that the UADSC model is more efficient. The parameters are data success rate, throughput, routing overhead, data loss rate, and average delay are compared and show more efficiency with NRHC, QLBC, and BCSA with our proposed UADSC model.