NDLI: The Tempo-Spatial Information Dissemination Properties of Mobile Opportunistic Networks with Levy Mobility

Content Provider	IEEE Xplore Digital Library
Author	Shengling Wang Xia Wang Xiuzhen Cheng Jianhui Huang Rongfang Bie
Copyright Year	2014
Description	Author affiliation: Comput. Sci., George Washington Univ., Washington, DC, USA (Xiuzhen Cheng) \|\| Coll. of Appl. Sci., Beijing Univ. of Technol., Beijing, China (Xia Wang) \|\| Coll. of Inf. Sci. & Technol., Beijing Normal Univ., Beijing, China (Shengling Wang; Rongfang Bie) \|\| Inst. of Comput. Technol., Beijing, China (Jianhui Huang)
Abstract	Mobile opportunistic networks make use of a new networking paradigm that takes advantage of node mobility to distribute information. Studying their inherent properties of information dissemination can provide a straightforward explanation on the potentials of mobile opportunistic networks to support emerging applications such as mobile commerce, emergency services, and so on. In this paper, we investigate the inherent properties of information dissemination using the Lévy mobility model to characterize the movement pattern of the nodes. Because Lévy mobility can closely mimic human walk, the analysis model we adopt is practical. Our analyses are taken from the perspectives of small- and large-scales. From the perspective of small-scale, the distribution of the minimum time needed by the information to spread to a given region is investigated, from the perspective of large-scale, the bounds of the probability of the earliest time at which the information arrives in a region that is sufficiently farther away are obtained. We also provide the rate that such probability approaches zero as the distance to the region increases to infinity. Finally, our main results are validated by the numerical simulations.
Starting Page	124
Ending Page	133
File Size	442584
Page Count	10
File Format	PDF
ISSN	10636927
e-ISBN	9781479951697
DOI	10.1109/ICDCS.2014.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-30
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobile computing Mobile communication Ad hoc networks Wireless communication Analytical models Business Wireless sensor networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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