Research Area:  Vehicular Ad Hoc Networks

Abstract:

In the future vehicular ad hoc networks (VANETs), vehicles communicate by sending beacon messages. However, fixed-period beacon messages cannot adapt to the characteristics of fast vehicle speed and variable network topology, and may contend for channel failure when there are many vehicles, resulting in the relevant information not being able to be known to surrounding vehicles, increasing the possibility of danger. In order to solve this problem, this paper proposes an adaptive beacon transmission power algorithm based on vehicle position prediction error, which increases the beacon transmission power of vehicles with large vehicle position prediction errors and reduces the transmission power of vehicles with small errors. And analyze the relevant factors that may affect the results in the experiment, and formulate relevant solutions to signal fading and channel contention. Finally, the experimental results show that, compared with the fixed transmit power, the proposed adaptive power reduces the CBT by about 16% and improves the packet transmission rate by about 4.5%, ensuring the effective transmission of security information.

Keywords:  

Author(s) Name:  Meng Wang, Tong Chen, Fei Du, Juan Wang, Guanxiang Yin & Yuejin Zhang

Publisher name:  SPRINGER

DOI:  10.1007/s12652-020-02575-x

Volume Information:  volume 13, pages 1307–1319 (2022)

Paper Link:   https://link.springer.com/article/10.1007/s12652-020-02575-x