Research Article
Local Density Estimation Based on Velocity and Acceleration Aware in Vehicular Ad-Hoc Networks
@INPROCEEDINGS{10.1007/978-3-319-73447-7_50, author={Xiao Luo and Xinhong Wang and Ping Wang and Fuqiang Liu and Nguyen Van}, title={Local Density Estimation Based on Velocity and Acceleration Aware in Vehicular Ad-Hoc Networks}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Density estimation Velocity and Acceleration Aware Resource demands}, doi={10.1007/978-3-319-73447-7_50} }- Xiao Luo
Xinhong Wang
Ping Wang
Fuqiang Liu
Nguyen Van
Year: 2018
Local Density Estimation Based on Velocity and Acceleration Aware in Vehicular Ad-Hoc Networks
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_50
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.
