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User-Centric Mobility Models for Opportunistic Networking

机译:机会网络的以用户为中心的移动性模型

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In this chapter we survey the most recent proposals for modelling user mobility in mobile pervasive networks, and specifically in opportunistic networks. We identify two main families of models that have been proposed. The first modelling approach is based on the observation that people tend to visit specific places in the physical space, which therefore exert special attraction on them. The mechanics of user movements are defined based on these attractions. The second approach is based on the fact that people are social beings, and therefore they move because they want to interact and meet with each other. Movements are thus defined based on the social relationships established by users among themselves. Both modelling approaches show good match with popular traces available in the literature. However, we note that each approach misses the other's point: people actually move both because they are attracted by other people, and because they spend time in preferred physical places. Therefore, we describe a new mobility model (Home-cell Community-based Mobility Model, HCMM) that takes both properties into account, i.e., social relationships and attraction of physical places. HCMM matches well-known statistical features of real human mobility traces. Furthermore, it provides intuitive and easy-to-use knobs to control overall system statistical properties generated by users' movements (e.g., the average time spent by users inside or outside preferred places).
机译:在本章中,我们调查了在移动普及网络(特别是机会网络)中建模用户移动性的最新建议。我们确定了两个主要的模型家族。第一种建模方法是基于以下观察:人们倾向于访问物理空间中的特定位置,因此会对它们产生特殊的吸引力。基于这些吸引力来定义用户移动的机制。第二种方法基于这样一个事实,即人们是社会存在者,因此人们之所以走动,是因为他们想相互交流和见面。因此,基于用户之间建立的社会关系来定义运动。两种建模方法都可以与文献中的流行痕迹很好地匹配。但是,我们注意到,每种方法都错了对方的观点:人们实际上移动既是因为他们被其他人吸引,又是因为他们将时间花在了首选的物理场所。因此,我们描述了一种新的移动性模型(基于家庭小区基于社区的移动性模型,HCMM),该模型同时考虑了两种属性,即社会关系和对自然环境的吸引力。 HCMM与真实的人类移动轨迹的众所周知的统计特征相匹配。此外,它提供了直观且易于使用的旋钮,以控制由用户移动产生的整体系统统计属性(例如,用户在首选地点之内或之外所花费的平均时间)。

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