一个好的默认情况:VANET物理层模拟中的陷阱

Bastian Bloessl, Aisling O'Driscoll
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引用次数: 5

摘要

网络仿真通常是设计、测试和评估车辆网络新应用和协议的首选。为了追求更高的真实感,模拟器变得越来越复杂,依赖于不同社区开发的详细仿真模型。在这种趋势下,详细理解所有模型也变得困难,研究人员可能缺乏适当参数化这些模型的专业知识。在本文中,我们确定了常见模拟框架中物理层效果的次优默认参数值,并展示了它们如何对结果产生负面影响。我们还回顾了使用上述模拟模型的论文,并强调这不仅仅是一个理论问题:我们发现大多数论文只是复制这些默认参数值或根本不提及物理层参数。这两种情况显然都有问题。因此,我们认为我们应该关注合理的默认参数值,就像关注仿真模型的功能正确性一样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Case for Good Defaults: Pitfalls in VANET Physical Layer Simulations
Network simulations are often the first choice to design, test, and evaluate novel applications and protocols for vehicular networks. Aiming for higher realism, simulators become increasingly complex, relying on detailed simulation models that are developed by different communities. With this trend, it also becomes difficult to understand all models in detail and researchers might lack the expert knowledge to parameterize such models properly. In this paper, we identify suboptimal default parameter values for physical layer effects in common simulation frameworks and show how they can negatively impact the results. We also review papers that use said simulation models and highlight that this is not simply a theoretical issue: We found that the majority of the papers simply copy these default parameter values or do not mention physical layer parameters at all. Both cases are clearly problematic. We thus argue that we should focus on reasonable default parameter values just as much as on the functional correctness of simulation models.
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