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Distributed transmission power control for communication congestion control and awareness enhancement in VANETs

机译:分布式传输功率控制,用于VANET中的通信拥塞控制和感知增强

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摘要

The vehicular ad hoc network (VANET) has been identified as one of the most promising technologies for managing future intelligent transportation systems. This paper proposes a distributed transmission power adjustment algorithm for communication congestion control and awareness enhancement to address communication congestion problems that can arise in VANETs. The objective of the proposed algorithm is to provide maximum awareness of surrounding vehicles’ status while maintaining a communications channel load below the allowed threshold. The proposed algorithm accomplishes this by adjusting the transmission range of each vehicle in the network progressively and gradually, while monitoring the communications channel load of each vehicle. By changing the transmission range of a vehicle little by little according to the communications channel load of its neighboring vehicles, the algorithm finds the optimal transmission range that provides maximum awareness without resulting in communications congestion. In addition, the proposed algorithm appropriately controls the channel load in a fair manner without sacrificing awareness of specific vehicles in the congested situation. This allows nearby vehicles to obtain more peripheral information to help them stay away from potential hazards and maintain safety. The proposed algorithm was implemented in a simulation environment, and its performance was validated in various traffic scenarios. The simulation results show that the proposed algorithm can deal with communication congestion by controlling the transmission power fairly to a target threshold in various traffic situations.
机译:车载自组织网络(VANET)被认为是管理未来智能交通系统的最有前途的技术之一。本文提出了一种用于通信拥塞控制和感知增强的分布式传输功率调整算法,以解决VANET中可能出现的通信拥塞问题。拟议算法的目的是在保持通信信道负载低于允许阈值的同时,最大程度地了解周围车辆的状态。所提出的算法通过在监视每个车辆的通信信道负载的同时逐步并逐渐地调整网络中每个车辆的传输范围来实现此目的。通过根据相邻车辆的通信信道负载一点一点地改变车辆的传输范围,该算法找到了可提供最大感知度而不会导致通信拥塞的最佳传输范围。另外,所提出的算法以公平的方式适当地控制信道负载,而不牺牲拥挤情况下特定车辆的意识。这使附近的车辆可以获得更多的周边信息,以帮助他们远离潜在的危险并保持安全。该算法在仿真环境中实现,并在各种交通场景下得到了验证。仿真结果表明,所提出的算法可以通过在各种流量情况下将传输功率合理地控制在目标阈值上来处理通信拥塞。

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