Trace-based analysis and spatio-temporal modelling of human mobility considering geographic restrictions for the performance evaluation of wireless communication networks

考虑地理限制的人体移动轨迹分析和时空建模，用于无线通信网络性能评估

• 批准号: 261371125
• 负责人: Professor Dr. Nils Aschenbruck
• 金额: --
• 依托单位: Institut für Informatik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/261371125?language=en
• 关键词: Trace; based; analysis; spatio; temporal

Modeling of human mobility is a relevant topic in several scientific areas. In computer science, it is of high interest, e.g., due to its significant impact on performance evaluation in wireless communication networks. Thus, significant research has already been conducted in the context of mobility modeling. The steadily rising prevalence of mobile devices, e.g., smart phones and tablets, combined with the included positioning and communication technology nowadays enable the effective tracking of human trajectories. A sufficiently large data basis of such trajectories (so-called "traces") can be used for analyzing fundamental mobility characteristics. This has led to important advances in the area of human mobility models during the last years.However, previous work by the project investigator has shown that there are still significant research gaps in the field of human mobility modeling. On the one hand, current mobility models lack a validation with other traces. On the other hand, the traces used so far are mostly too coarse-grained, scenario-specific, or are based on a small sample size. Furthermore, current trace analyses and models are based on assumptions, like flights between start and destination, which are unrealistic in the context of human mobility. Geographic restrictions (e.g. street maps like OpenStreetMap) are usually not considered during trace analysis or trace-based modeling. However, it is to be expected that geographic restrictions impact the analysis of characteristic features as well as modeling at a high degree. These research gaps challenge the realism and credibility of current results from trace analysis and human mobility modeling as well as the results of the performance evaluation based on these models.This project's goal is a realistic and validated modeling for human mobility based on the new trace basis. The application focus is on the performance evaluation in wireless communication networks. Nevertheless, the characteristic features of human mobility yielded by the trace analysis can also be applied to other domains due to their fundamental nature. These domains are transportation system planning, travel demand forecasting, and biological and wireless virus spreading, among others.

人类流动性建模是几个科学领域的相关主题。在计算机科学中，它具有很高的兴趣，例如，这是由于其对无线通信网络中的性能评估的显著影响。因此，在移动建模的背景下已经进行了重要的研究。移动的设备的普及率稳步上升，智能手机和平板电脑，结合目前所包含的定位和通信技术，能够有效跟踪人体轨迹。这样的轨迹（所谓的“迹线”）的足够大的数据基础可以用于分析基本的移动特性。在过去的几年里，这导致了人类移动模型领域的重要进展。然而，项目研究人员以前的工作表明，在人类移动模型领域仍然存在重大的研究空白。一方面，目前的移动模型缺乏与其他痕迹的验证。另一方面，到目前为止使用的痕迹大多是太粗粒度的，特定的，或基于一个小的样本大小。此外，当前的踪迹分析和模型是基于假设的，例如出发地和目的地之间的航班，这在人类流动性的背景下是不现实的。在轨迹分析或基于轨迹的建模过程中，通常不考虑地理限制（例如OpenStreetMap等街道地图）。然而，地理限制会在很大程度上影响特征分析和建模。这些研究的差距挑战的现实性和可信性，目前的结果从痕迹分析和人类流动性建模，以及基于这些models.This项目的目标是一个现实的和验证的建模为基础的新的痕迹人类流动性的结果。应用的重点是在无线通信网络的性能评估。尽管如此，痕迹分析所产生的人类流动的特征也可以应用于其他领域，因为它们具有基本性质。这些领域包括交通系统规划、旅行需求预测、生物和无线病毒传播等。

项目成果

BonnMotion 4 – Taking Mobility Generation to the Next Level

BonnMotion 4 â 将移动出行提升到新的水平

• DOI: 10.1109/ipccc50635.2020.9391563
• 发表时间: 2020
• 期刊: 2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC)
• 作者: Alexander Bothe;Nils Aschenbruck
• 通讯作者: Nils Aschenbruck

Stationarity for the Small World in Motion Mobility Model

运动模型中小世界的平稳性

• DOI: 10.1145/3345768.3355935
• 发表时间: 2019
• 期刊: Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
• 作者: Nils Aschenbruck;Hanna Döring;Christian Heiden;Matthias Schwamborn
• 通讯作者: Matthias Schwamborn

On the Impact of Geographic Restrictions on Contact Metrics in Opportunistic Networks

• DOI: 10.1109/lcnsymposium50271.2020.9363269
• 发表时间: 2020-11
• 期刊: 2020 IEEE 45th LCN Symposium on Emerging Topics in Networking (LCN Symposium)
• 作者: Alexander Tessmer;T. Hänel;N. Aschenbruck

Towards an extensive map-oriented trace basis for human mobility modeling

• DOI: 10.1109/pccc.2016.7820643
• 发表时间: 2016-12
• 期刊: 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC)
• 作者: Matthias Schwamborn;N. Aschenbruck

On Modeling and Impact of Geographic Restrictions for Human Mobility in Opportunistic Networks

• DOI: 10.1109/mascots.2015.37
• 发表时间: 2015-10
• 期刊: 2015 IEEE 23rd International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
• 作者: Matthias Schwamborn;N. Aschenbruck