On the Impact of Geographic Restrictions on Contact Metrics in Opportunistic Networks
On the Impact of Geographic Restrictions on Contact Metrics in Opportunistic Networks
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DOI：
10.1109/lcnsymposium50271.2020.9363269
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发表时间：
2020-11
期刊：
影响因子：
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通讯作者：
Alexander Tessmer;T. Hänel;N. Aschenbruck
中科院分区：
文献类型：
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作者：
Alexander Tessmer;T. Hänel;N. Aschenbruck
公共陆地移动的网络（PLMN）持续面临负载增加。科普这种情况的一种方法是数据卸载。为了实现卸载，例如，通过实施在机会联网领域中研究的解决方案，必须评估这些解决方案的性能。由于可扩展性至关重要，因此模拟是首选方法。在典型的性能评估中，仅使用简单的仿真模型。因此，结果的相关性和可信度往往不明确。本文结合三个维度的仿真模型类型来估计对机会网络性能评估的影响。我们研究了人类移动性对接触指标的影响以及移动和信号传播建模中的地理限制。我们的研究结果表明：（1）这两类运动建模对接触度量有显着影响，（2）只有在更高的信号传播范围内，才需要在运动和信号传播中考虑地理限制。
Public Land Mobile Networks (PLMNs) are continuously facing a load increase. One way to cope with this situation is Data-Offloading. To realize offloading, e.g., via implementing solutions researched in the opportunistic networking domain, the performance of these solutions has to be evaluated. As scalability is crucial, simulation is the method of choice. In typical performance evaluations, only simple simulation models are used. Thus, relevance and trust of the results are often unclear. This paper combines three dimensions of simulation model types to estimate the impact on the performance evaluation of opportunistic networks. We examine the impact on contact metrics of human mobility as well as geographic restrictions in movement and signal propagation modeling. Our results show that (1) both categories of movement modeling have a significant influence on contact metrics and (2) geographic restrictions need to be considered in both movement and signal propagation only for higher signal propagation ranges.