Abstract
Creation and maintaining of the one-to-one communication link between the nodes in Vehicular Adhoc Networks are challenging. The model which is very much efficient for one particular scenario will not work at the same level of efficiency for another environment. The mobility of the nodes in the network plays a crucial role in establishing a reliable communication model in the VANETs. Analyzing the nature of mobility inside a particular network based on logical and historical data paves an efficient way in the routing of packets by predicting the best route and improve the quality of the network, reliability, and other performance in terms of serviceability. This paper aims to analyze the drawbacks of existing mobility models utilizing various network quality parameters by classifying them into microscopic and macroscopic mobility models. With the insight gained from the analysis, we propose two methodologies where the realistic model for the VANETs can be established. The models are architected with the help of the information provided by the Geographic information system. The conventional mobility models include excessive details such as road and street layouts, intersection with traffic signals, acceleration and deceleration, building, and other obstacles in a realistic mobility model, that requires prolonged time to design and optimize, it should complicate the simulation. Designing an effective, realistic mobility model is crucial. The key objectives of this proposal are to architect realistic VANETs mobility models by taking into account the real-time road environment and actual data according to the traffic demand and improving the real-time performance of VANETs
Highlights
The Vehicular Adhoc NETworks (VANETs) comprises a cluster of mobile vehicles that can communicate between them with the use of a fixed infrastructure, named as Road Side Units (RSUs) [1]
Random Direction (RD) Model: The RD model enforces the vehicle to move to the corner of the surface in which the simulation is done beforehand the direction and the velocity of the vehicle is changed
This work proposes a REAListic Vehicular Mobility (REAL-VM) model that includes realistic road topology with attractivity factors for producing the mobility model and improve the accuracy of simulation results of VANETs
Summary
The Vehicular Adhoc NETworks (VANETs) comprises a cluster of mobile vehicles that can communicate between them with the use of a fixed infrastructure, named as Road Side Units (RSUs) [1]. Even though real-world deployment is essential to understand the effectiveness and performance of VANETs, simulation provides a few advantages over actual deployment. A realistic mobility model faithfully represents the unique dynamics of node mobility, characterized at a time by the real-time topologic maps that demonstrate the diverse road density and various classifications of the street with a miscellaneous speed limit of vehicles. The macroscopic mobility model takes into account the traffic flow, described using parameters such as speed, density, and flow of vehicles. The macroscopic mobility model cannot well adopt for real-time VANETs simulation. The microscopic mobility model shows the microscopic behavior of the vehicles by considering the traffic flow of a single vehicle as a basic unit, such as traveling speed, the distance between two vehicles, driver’s acceleration, overtaking decisions, and realistic road topology changing parameters. The macroscopic mobility model requires significant memory space and high simulation time
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