Abstract
In vehicular ad-hoc networks (VANET), node density is constantly changing in both time and space. Well communication quality depends on the nodes density. Knowing the density of the vehicle communication system is very important for achieving better wireless communication performance. In recent years, many researchers have proposed a resource allocation scheme based on vehicle density. Therefore, in this paper, we introduced an acceleration aware density estimation (VAADE) algorithm to map the relationship between vehicle density and resource requirements. In VAADE, a car estimates the density of the driving road according to its own velocity and acceleration in real time. VAADE is accurate because it employs both velocity and acceleration, which are sufficient for density estimation. The simulation results indicate that the proposed algorithm can map the relationship between the communication resource demands and the acceleration.
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Acknowledgement
This work was supported by the National Science and Technology Major Project of MIIT under Grant 2015ZX03002009-003.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Luo, X., Wang, X., Wang, P., Liu, F., Van, N.N. (2018). Local Density Estimation Based on Velocity and Acceleration Aware in Vehicular Ad-Hoc Networks. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_50
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DOI: https://doi.org/10.1007/978-3-319-73447-7_50
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