Intelligent transportation system (ITS) has enormous potential and has been able to extend the transportation systems to more sustainable, secure, and manageable communicating systems. Particularly, a Vehicular ad hoc network (VANET) plays an imperative part to preserve and oversee the features of ITS. Since VANET provides a highly dynamic environment, where disseminating messages to the intended destination in a scenario with high node-density without any interruption is a critical strategy. Existing data dissemination techniques using single-radio devices do face degradation in terms of an increase in end-to-end (ETE) delay and decrease in throughput because of the inefficient spectrum utilization. To deal with this, techniques that use assistance from other channels that are generally referred to as dual-radio multi-channel have been proposed, which can efficiently use the spectrum in a cooperative manner; however, due to the cross-channel interference in the same band, the network performance degrades. Considering these facts, getting assistance from another network is one of the solutions to increase the performance of the network. Therefore, a UAV-assisted Cooperative Routing Scheme (UCRS) has been proposed, where a Flying ad hoc network (FANET) aids VANET. Each node in UCRS creates an Allied Node Table (ANT) based on the vehicles in the forwarding zone. The best node among several nodes available in ANT is selected in an ETE route through which the data traffic is forwarded to the intended destination. With connection/communication disturbance due to congestion or gap between the vehicles during data exchange, UCRS attempts local repair up to two hops; in case of failure to recover the route, assistance from UAV is carried out. The performance evaluation is performed using the network simulator (ns-2.31) and the analysis shows that UCRS achieved better performance as compared to U2RV and AODV with an increase in node density.
UAV-Assisted Cooperative Routing Scheme for Dense Vehicular Ad hoc Network
Unmanned Syst. Tech.
Intelligent Unmanned Air Vehicles Communications for Public Safety Networks ; Chapter : 9 ; 199-214
2022-05-07
16 pages
Article/Chapter (Book)
Electronic Resource
English