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Analytical framework for safety level evaluation of periodic-based safety applications in Vehicular ad hoc networks

机译:车辆自组织网络中基于周期的安全应用程序的安全级别评估的分析框架

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We introduce an analytical framework for quantitative safety level evaluation of periodic-based safety applications in vehicular ad hoc networks (VANETs). The framework is based on Markov chain modeling and associates the probability of successful reception of safety messages by the safety application with the safety level which is eventually offered to the passengers. The relationship between distance and safety risk is also incorporated in the proposed model. The idea of this paper challenges the common trend in literature in which quality of safety (pertaining to safety application) is evaluated through the same parameters as quality of service (of the network). Based on the proposed framework, we investigate the effects of vehicles' transmission range on the evaluated safety level. Further we showed that despite of poor performance of the MAC layer of current standard, which is based on IEEE 802.11p, invoking application layer TDMA-like scheduling improves the quality of safety noticeably satisfying the requirements of most of the life safety applications.
机译:我们引入了一个分析框架,用于对车辆自组织网络(VANET)中基于周期的安全应用程序进行定量安全级别评估。该框架基于马尔可夫链模型,并将安全应用程序成功接收安全消息的概率与最终提供给乘客的安全级别相关联。距离与安全风险之间的关系也被纳入所提出的模型中。本文的思想挑战了文献中的共同趋势,即通过与服务质量(网络)相同的参数来评估安全质量(属于安全应用)。基于提出的框架,我们研究了车辆的传输距离对评估的安全等级的影响。进一步,我们表明,尽管基于IEEE 802.11p的当前标准的MAC层性能较差,但调用类似TDMA的应用程序层调度可以提高安全性,从而明显满足大多数生命安全应用程序的要求。

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