Evaluating TCP performance of routing protocols for traffic exchange in street-parked vehicles based fog computing infrastructure

Journal of Cloud Computing

Advances, Systems and Applications

Table 3 Summary of results under various vehicle density, parking duration and vehicle speed

	Throughput	Delay	PDR
Vehicle Density	Increasing vehicle density caused lower throughput, lower PDR and higher delay
	LAR is highly influenced by increasing vehicle density
	Highest throughput: AODV	Lowest delay: AODV	Highest PDR: AODV
	Lowest throughput: LAR	Highest delay: LAR	Lowest PDR: LAR
Parking Duration	Increasing parking duration caused higher throughput, higher PDR and lower delay but DREAM
	and LAR (geographic routing protocols) attain lower throughput, lower PDR and higher delay
	AODV and DSR are highly influenced by increasing parking durations
	Highest throughput: DREAM	Lowest delay: AODV	Highest PDR: AODV
	Lowest throughput: DSDV	Highest delay: LAR	Lowest PDR: DSDV
Vehicle Speed	Increasing vehicle speed caused lower throughput, lower PDR and higher delay
	LAR is highly influenced by increasing vehicle speed
	Highest throughput: DREAM	Lowest delay: DREAM	Highest PDR: AODV
	Lowest throughput: LAR	Highest delay: LAR	Lowest PDR: LAR