作者: Shengling Wang , Xia Wang , Xiuzhen Cheng , Jianhui Huang , Rongfang Bie
关键词: Computer network 、 Spatial analysis 、 Node (networking) 、 Computer science 、 Mobile commerce 、 Mobility model 、 Perspective (graphical) 、 Mobile computing 、 Zero (linguistics)
摘要: Mobile opportunistic networks make use of a new networking paradigm that takes advantage node mobility to distribute information. Studying their inherent properties information dissemination can provide straightforward explanation on the potentials mobile support emerging applications such as commerce, emergency services, and so on. In this paper, we investigate using Levy model characterize movement pattern nodes. Because closely mimic human walk, analysis adopt is practical. Our analyses are taken from perspectives small- large-scales. From perspective small-scale, distribution minimum time needed by spread given region investigated, large-scale, bounds probability earliest at which arrives in sufficiently farther away obtained. We also rate approaches zero distance increases infinity. Finally, our main results validated numerical simulations.