Parametric evaluation of V2V communication in Vehicular Ad hoc Networks
T R Mahesh, V Vivek
Abstract
T R Mahesh, V Vivek
Abstract
In order to implement a Vehicular Ad-hoc Network (VANET) in the absence of a predetermined network architecture, moving vehicles can use wireless technology to connect to each other in order to form a Vehicular Ad-hoc Network (VANET). Simulating VANETs typically involves two distinct stages that need to be taken into consideration. The simulation of traffic flows takes place first, followed by a simulation of the underlying network in order to understand how it works. In order to improve the realism of a VANET simulation, it is necessary to simulate the propagation of waves between the vehicles within the VANET. Vehicle-to-vehicle (V2V) communication has been hampered by a number of impediments, such as the precise location and mobility of vehicles, due to the focus of research on the impact of vehicles on vehicle-to-vehicle (V2V) communication. A proposed model considers automobiles as obstacles, with their effect on LOS blockage, received signal power, and packet reception rate being accounted for, depending on the effects they have on line-of-sight (LOS) obstructions. When a vehicle blocks the line of sight (LOS), there is a significant attenuation in the signal and packet loss, and it has been demonstrated that these blockers significantly decrease the power of the signal received by the antenna.
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In order to implement a Vehicular Ad-hoc Network (VANET) in the absence of a predetermined network architecture, moving vehicles can use wireless technology to connect to each other in order to form a Vehicular Ad-hoc Network (VANET). Simulating VANETs typically involves two distinct stages that need to be taken into consideration. The simulation of traffic flows takes place first, followed by a simulation of the underlying network in order to understand how it works. In order to improve the realism of a VANET simulation, it is necessary to simulate the propagation of waves between the vehicles within the VANET. Vehicle-to-vehicle (V2V) communication has been hampered by a number of impediments, such as the precise location and mobility of vehicles, due to the focus of research on the impact of vehicles on vehicle-to-vehicle (V2V) communication. A proposed model considers automobiles as obstacles, with their effect on LOS blockage, received signal power, and packet reception rate being accounted for, depending on the effects they have on line-of-sight (LOS) obstructions. When a vehicle blocks the line of sight (LOS), there is a significant attenuation in the signal and packet loss, and it has been demonstrated that these blockers significantly decrease the power of the signal received by the antenna.
Key concepts: Vehicular ad hoc network, Wireless ad hoc network, Computer science, Computer network, Vehicle-to-vehicle, Non-line-of-sight propagation, Network packet, Throughput