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Design and analysis of an efficient and reliable MAC protocol for VANETs.

机译:针对VANET的高效可靠的MAC协议的设计和分析。

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摘要

The increase number of vehicles on roads and the immense number of fatal accidents they cause have driven the research and development of new generation technologies to help drivers travel more safely. One major cause of traffic accidents is that drivers cannot consistently respond to the changing road conditions appropriately. In fact, most accidents could be avoided if drivers could obtain and use relevant information of the traffic that is beyond their vision using wireless communications technology.;Recently, the IEEE community adopted the IEEE 802.11p standard as a main technology for VANETs. To test the feasibility of this technology, most researchers use simulations to evaluate its new applications and protocols due to the prohibitive cost of implementing real VANET setup. Therefore, we first analyze VANET’s wireless channel analytically and by simulations to predict its most appropriate propagation model and the communication range that minimizes the impact of the hidden terminal problem. Second, we derive a new mobility model that takes into account the vehicle’s follow-on safety rule, to accurately derive the relationship between vehicle’s speed and network density.;It is expected that broadcasting and multi hop communications will be dominant in VANETs safety applications and protocols. Therefore, a Network Topology p-Persistence (NTPP) scheme is proposed to alleviate the impact of the broadcast storm problem. NTPP is based on vehicles’ knowledge of their neighbors in their range and traffic parameters to reduce the channel contention, redundant re-broadcasts and message travel time and to increase the emergency message reception rate.;We analyze the reliability of the IEEE 802.11p in VANETs safety and warning applications scope taking into consideration different factors. It is shown analytically and by extensive simulations that the current DSRC specifications may lead to undesirable performance under harsh vehicular environments. Therefore, a novel Distributed Multichannel and Mobility Aware Cluster-based MAC Protocol (DMCMAC) is proposed to alleviate the impact of the hidden terminal problem, increase the network capacity and reliability. Cluster heads in DMCMAC are elected and re-elected in a distributed manner according to their relative speed and distance from their cluster members. The high stability of DMCMAC results from its adaptability to drivers’ behavior on the road and its learning process to predict the future speed and position of all cluster members using the fuzzy logic inference system. The reliability of DMCMAC is analyzed and compared with other protocols. It is shown by simulations that DMCMAC has high stability, its performance exceeds other protocols and can achieve a timely and reliable delivery of emergency messages to their intended recipients which make it more suitable for VANETs.
机译:道路上车辆的数量增加,以及它们造成的大量致命事故,推动了新一代技术的研究和开发,以帮助驾驶员更安全地行驶。交通事故的一个主要原因是,驾驶员无法始终如一地对不断变化的道路状况做出适当的反应。实际上,如果驾驶员能够使用无线通信技术获得并使用超出他们视野的交通相关信息,则可以避免大多数事故。最近,IEEE社区采用了IEEE 802.11p标准作为VANET的主要技术。为了测试该技术的可行性,由于实施真正的VANET设置的成本高昂,大多数研究人员使用仿真来评估其新应用和协议。因此,我们首先分析并通过仿真分析VANET的无线信道,以预测其最合适的传播模型和通信范围,以最大程度地减少隐藏终端问题的影响。其次,我们得出了一种新的移动性模型,该模型考虑了车辆的后续安全规则,以准确地得出车辆速度与网络密度之间的关系。;预计广播和多跳通信将在VANETs安全应用中占主导地位,并且协议。因此,提出了一种网络拓扑p-Persistence(NTPP)方案来减轻广播风暴问题的影响。 NTPP基于车辆在其距离和交通参数方面对邻居的了解,以减少信道争用,冗余重播和消息传播时间并提高紧急消息接收率。我们分析了IEEE 802.11p的可靠性VANET的安全和警告应用范围考虑了不同的因素。通过分析和广泛的仿真显示,当前的DSRC规范可能会在恶劣的车辆环境下导致不良的性能。因此,提出了一种新颖的基于分布式多通道和移动感知集群的MAC协议(DMCMAC),以减轻隐藏终端问题的影响,提高网络容量和可靠性。 DMCMAC中的簇首根据其相对速度和与簇成员的距离以分布式方式进行选举和重新选举。 DMCMAC的高度稳定性源于其对驾驶员在道路上的行为的适应能力以及其学习过程,该过程使用模糊逻辑推理系统预测所有集群成员的未来速度和位置。对DMCMAC的可靠性进行了分析,并与其他协议进行了比较。通过仿真显示,DMCMAC具有很高的稳定性,其性能超过了其他协议,并且可以及时,可靠地将紧急消息传递给其预期的接收者,这使其更适合VANET。

著录项

  • 作者

    Abdel Hafeez, Khalid.;

  • 作者单位

    Ryerson University (Canada).;

  • 授予单位 Ryerson University (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 178 p.
  • 总页数 178
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:42:51

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