Performance Enhancement of Cluster-Based Ad Hoc On-Demand Distance Vector Routing in Vehicular Ad Hoc Networks

Table 7

Comparative analysis.

“Nodes”	“Throughput proposed”	“Throughput Fahad and Ali [41]	“PDR proposed’”	“PDR Fahad and Ali [41]	“PDR Zhang et al. [42]	“Delay in seconds proposed	“Delay in seconds Fahad and Ali [41]	“Delay in seconds Zhang et al. [42]
50	11075.8687	10319.772	0.83086361	0.7519525	0.79280903	10.5456838	10.8825214	11.539072
70	10209.7077	10248.8188	0.83862655	0.7715402	0.83805761	10.7828892	11.1100601	11.6675194
90	11728.2835	11605.4077	0.85213864	0.81200701	0.81651534	10.9335062	11.2511064	12.0192904
110	10224.5577	9646.89438	0.85693297	0.85604239	0.78876913	11.1374073	12.3436572	12.3613088
130	11374.1389	10025.2036	0.8660448	0.8611037	0.83976989	11.3886717	12.6642022	12.6708958
150	12072.1588	10638.6879	0.88301788	0.87454231	0.84673397	11.5815243	12.3520838	12.3308957
170	10989.1103	10710.2612	0.88710949	0.88101555	0.87647971	11.7475442	13.0796477	11.9521481
190	10246.2409	11371.2247	0.89839866	0.80923518	0.88947951	11.9236814	12.8590178	12.1738079
210	10329.2591	10554.3785	0.91341884	0.87319205	0.82954678	12.1060308	12.7148412	12.482815
230	10728.1846	10032.2312	0.91782701	0.87589758	0.85656116	12.3540249	13.4453951	13.161371
250	11786.9808	10890.6607	0.92944254	0.88182792	0.91591083	12.5468718	13.7327582	13.230415
270	11146.0327	10787.8463	0.94107322	0.92868252	0.88947902	12.7975811	13.6671549	13.700376
290	11105.7217	11273.5427	0.95024957	0.89110205	0.92091153	12.9048078	14.3206725	14.0997648