Performance Prediction for AODV, AOMDV, and hybrid protocols in the high-Density Networks

Today, the intelligent transportation system (ITS) plays an important role in smart cities to decrease overpopulation problems, traffic congestion, free passage of emergency vehicles, and unseen obstacles. ITS allows 
communication between vehicles which leads to the efficient and reliable routing protocol for what is called Vehicular 
Ad-Hoc Network (VANET). In this paper, the performance of the Ad-hoc on-demand Distance Vector (AODV), Adhoc on-demand Multipath Distance Vector (AOMDV), and hybrid protocols have been analysed based on different 
network densities. Then their prediction are measured in the high-density areas using linear regression techniques with 
performance parameters of Packet Delivery Ratio (PDR), Normalized Routing Load (NRL), Average End-to-End 
delay (AE2ED), and Average Throughput (ATP). The results show that when using AODV and AOMDV together as 
hybrid protocol in the same environment with a number of nodes greater than 200 nodes, the PDR, NRL, and ATP are 
better than AODV and AOMDV separately. The PDR and ATP decrease when the network density increases, and vice 
versa with NRL and AE2ED. The performance parameters results are implemented in MATLAB version R2019b (9.7) 
to visualize the graphs.