一种车联网自适应功率控制策略

发布时间：2018-01-30 07:02

本文关键词： 车联网信道拥塞功率控制模糊控制预测密度　出处：《小型微型计算机系统》2017年01期 　论文类型：期刊论文

【摘要】：信道拥塞会导致数据包碰撞和丢失,使安全相关的消息无法可靠发送.而传统的信道拥塞控制通过检测信道占有率、信噪比和当前时刻节点数目,对功率进行被动控制,且大部分算法是开环控制,具有滞后性和不精确性.针对传统功率控制的滞后性和不精确性,基于模糊逻辑提出一种车联网自适应功率控制策略FAPCS(Adaptive Power Control Strategy Based On Fuzzy Logic).首先,建立了传输范围预测模型,通过预测交通流密度值,预测出满足90%数据包递送率的传输范围;然后,针对隐藏终端和预测密度的误差对数据包递送率的影响,设计了传输范围自适应调整模型,该模型通过模糊逻辑推理,得到满足90%数据包递送率的真实传输范围.仿真结果表明,该控制策略能够避免信道拥塞,使数据包递送率满足安全相关应用的需要,且具有较快收敛速度.
[Abstract]:Channel congestion can lead to packet collision and loss, which makes secure messages can not be sent reliably. Traditional channel congestion control measures channel occupancy, SNR and the number of nodes at the current time. Passive power control, and most of the algorithms are open-loop control, with hysteresis and imprecision. Traditional power control hysteresis and imprecision. An adaptive power control strategy based on fuzzy logic for vehicle networking (FAPCS) is proposed. Adaptive Power Control Strategy Based on Fuzzy logic. The transmission range prediction model is established and the transmission range satisfying the 90% packet delivery rate is predicted by predicting the traffic flow density. Then, aiming at the effect of hidden terminal error and prediction density error on packet delivery rate, an adaptive transmission range adjustment model is designed, which is based on fuzzy logic reasoning. The real transmission range of 90% packet delivery rate is obtained. Simulation results show that the proposed control strategy can avoid channel congestion and make the packet delivery rate meet the needs of security-related applications. And it has fast convergence speed.
【作者单位】：大连理工大学计算机科学与技术学院;
【基金】：国家高科技资助项目(2012AA111902)资助国家自然科学基金项目(61471084)资助中央高校基本科研业务费专项资金(DUT15QY02)资助
【分类号】：U495;TN929.5
【正文快照】： 1背景车联网(VANET)是指在交通环境中的车与车、车与基础设施以及车与人之间通过共享的无线信道所组建成的开放式可移动网络.其目标是构建一个高效、低廉和开放的车间通信系统,以减少交通事故,提高交通运输效率,缓解交通阻塞,提高路网通行能力.Intelli Drive联盟预测未来随着

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