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首页> 外文期刊>Journal of applied mathematics >Characterizing Pairwise Social Relationships Quantitatively: Interest-Oriented Mobility Modeling for Human Contacts in Delay Tolerant Networks
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Characterizing Pairwise Social Relationships Quantitatively: Interest-Oriented Mobility Modeling for Human Contacts in Delay Tolerant Networks

机译:定量地表征成对社会关系:延迟宽容网络中的人类接触的兴趣导向的流动建模

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摘要

Human mobility modeling has increasingly drawn the attention of researchers working on wireless mobile networks such as delay tolerant networks (DTNs) in the last few years. So far, a number of human mobility models have been proposed to reproduce people's social relationships, which strongly affect people's daily life movement behaviors. However, most of them are based on the granularity of community.This paper presents interest-oriented human contacts (IHC) mobility model, which can reproduce social relationships on a pairwise granularity. As well, IHC provides two methods to generate input parameters (interest vectors) based on the social interaction matrix of target scenarios. By comparing synthetic data generated by IHC with three different real traces, we validate our model as a good approximation for human mobility. Exhaustive experiments are also conducted to show that IHC can predict well the performance of routing protocols.
机译:人类流动性建模越来越多地引起了在过去几年中对诸如延迟容忍网络(DTN)等无线移动网络的研究人员的注意力。 到目前为止,已经提出了许多人类流动模型来重现人们的社会关系,这强烈影响了人们的日常生活运动行为。 然而,他们中的大多数是基于社区的粒度。本文提出了面向兴趣的人类联系方式(IHC)移动模型,可以在成对粒度上繁殖社会关系。 此外,IHC还提供了基于目标场景的社交交互矩阵生成输入参数(利益向量)的方法。 通过将IHC生成的合成数据与三个不同的真实迹线进行比较,我们将我们的模型验证为人类移动性的良好近似。 还进行了详尽的实验,表明IHC可以预测路由协议的性能。

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