Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II

Research Article

Local Density Estimation Based on Velocity and Acceleration Aware in Vehicular Ad-Hoc Networks

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  • @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
Xiao Luo1,*, Xinhong Wang1,*, Ping Wang1,*, Fuqiang Liu,*, Nguyen Van2,*
  • 1: Tongji University
  • 2: Hanoi University of Science and Technology
*Contact email: 18817514236@163.com, wang_xinhong@163.com, pwang@tongji.edu.cn, liufuqiang@tongji.edu.cn, van.nguyenngoc@hust.edu.vn

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.