Research on adaptive beacon message transmission power in VANETs
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ORIGINAL RESEARCH
Research on adaptive beacon message transmission power in VANETs Meng Wang1 · Tong Chen1 · Fei Du1 · Juan Wang1 · Guanxiang Yin1 · Yuejin Zhang1 Received: 5 June 2020 / Accepted: 22 September 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract In the future vehicular ad hoc networks (VANETs), vehicles communicate by sending beacon messages. However, fixedperiod 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 Vehicular ad hoc networks (VANETs) · V2V communication · Linear combination model · Adaptive transmission power · Signal weakness · Channel contention
1 Introduction In recent years, with the increasing number of vehicles, road traffic accidents have also increased, seriously affecting people’s lives and property safety. In order to improve the current traffic environment, the vehicular ad-hoc networks (VANETs) came into being. It is the most promising method for future intelligent transportation system (ITS) to improve traffic efficiency and traffic safety (Shah et al. 2016; Sulistyo and Alam 2018). Internet of vehicles (IoV) is the future road traffic system model (Fig. 1). Through information sharing between vehicles, road traffic accidents are reduced, road traffic safety is improved, and people’s lives and property are protected (Jiang et al. 2020a, b, c; Egea-Lopez and PavonMarino 2016). Messages related to vehicle active safety applications in IoV are divided into periodic Beacon messages and Warning messages triggered by emergency events (Fallah et al. 2010a, b). The content of Beacon message includes speed, * Yuejin Zhang [email protected] 1
School of Information Engineering, East China Jiaotong University, Nanchang 330013, China
location and driving direction. The neighboring vehicle nodes of the surroundings broadcast the beacon message of the vehicle to understand the distribution of the surrounding vehicles in advance to avoid the occurrence of traffic accidents (Kwon and Rhee 2016; Jiang et al. 2020a, b, c). The Warning message is a multi-hop broadcast message. It is sent in
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