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On modeling and impact of geographic restrictions for human mobility in opportunistic networks

机译:关于机会网络中地理限制对人员流动的建模及其影响

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摘要

Human mobility has been shown to have a significant impact on the performance evaluation in Opportunistic Networks. As shown in previous work, the integration of geographic restrictions is (1) a further step towards more credibility of Opportunistic Network simulative performance evaluation, and (2) influences relevant metrics, such as contact duration and number of contacts. In this paper, modeling challenges related to geographic restrictions are in our focus. We investigate the impact of the road network underlying the scenario's map extract. The diversity in road network structure has less impact on the Inter Contact Times but causes considerably shorter and less contacts for dense road networks. This makes dense road networks an especially challenging urban scenario for forwarding algorithm performance evaluation. As integrating geographic restrictions is an additional effort, we examine the runtime for trace generation and contact computation. It increases significantly but should be accepted as a trade-in for more realistic and credible modeling. (C) 2018 Elsevier B.V. All rights reserved.
机译:事实证明,人员流动对机会网络的绩效评估有重大影响。如先前的工作所示,地理限制的集成是(1)向机会网络模拟性能评估的更高可信度迈出的又一步,并且(2)影响相关指标,例如联系时间和联系数量。在本文中,与地理限制相关的建模挑战是我们的重点。我们调查了该场景的地图摘要所依据的道路网络的影响。道路网络结构的多样性对“相互联系时间”的影响较小,但对于密集的道路网络而言,其联系时间大大缩短,接触较少。这使得密集的道路网络成为用于转发算法性能评估的特别具有挑战性的城市场景。由于集成地理限制是一项额外的工作,因此我们将检查运行时以生成跟踪和联系计算。它显着增加,但应该被接受以换取更真实和可信的建模。 (C)2018 Elsevier B.V.保留所有权利。

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