Abstract
In Internet of Vehicles (IoV), numerous routing metrics have been used to assess the performance of routing protocols such as, packet delivery ratio, throughput, end-to-end delay and path duration. Path duration is an influential design parameter, among these routing metrics, that determines the performance of vehicular networks. For instance, in highly dynamic scenarios, it can be used to predict link life time in on-demand routing protocols. In this paper, we propose an infrastructure-assisted hybrid road-aware routing protocol which is capable of enhanced vehicle-to-vehicle and vehicle-to-infrastructure communication. A remarkable aspect of the proposed protocol is that it establishes a link between path duration and fundamental design parameters like vehicular velocity, density, hop count and transmission range. Although, a lot of research has been previously performed, a well defined analytical model for IoV is not available in the literature. Precisely, a relation between path duration and vehicular velocity has not been validated in the previous studies. Experimental results show that the increased packet delivery ratio with reduced end-to-end delay can be achieved by the prediction of path duration. Proposed model for path duration is validated by getting experimental results from network simulator 3 (NS3) and analytical results from MATLAB. In addition, SUMO simulator was used to generate real time traffic on the roads of Gangnam district, South Korea.
Highlights
With a phenomenal increase in the number of vehicles on roads, Internet of Vehicles (IoV) has become one important research field providing better solutions for smart transportation system
4.1 Neighbor Tables In infrastructure-based hybrid road-aware routing protocol (IARAR), roads are divided into road segments, and are assigned with unique segment IDs ( Sn )
We have suggested a new road-aware routing scheme for Internet of Vehicles with the estimation of path duration
Summary
With a phenomenal increase in the number of vehicles on roads, IoV has become one important research field providing better solutions for smart transportation system. It is pertinent to mention here that the prediction of a path failure before it breaks as well as finding a new path can significantly enhance the performance of the network To this end, in the paper, we propose a novel analytical model for the estimation of path duration with road-aware routing protocol to enhance the packet delivery ratio with reduced routing overhead and end-to-end delay. A novel infrastructure-based hybrid road-aware routing protocol (IARAR) is proposed along with an analytical model for path duration estimation to eliminate the aforementioned restraints of V2V and V2I communication. A route within a road segment is determined by the estimation of path duration using different parameters including hop count, link availability time, vehicle velocity and direction.
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