NDLI: The dissemination distance of mobile opportunistic networks

Content Provider	Springer Nature Link
Author	Wang, Xia Wang, Shengling Liang, Wenshuang Bie, Rongfang Zhao, Feng
Copyright Year	2015
Abstract	Mobile opportunistic networks can realize self-organizing communications for complicated and dynamic scenarios, which makes them expected to support various applications. In this paper, we investigate how far the data can reach within time t (i.e., the dissemination distance), which reveals the tempo-spatial data dissemination properties of mobile opportunistic networks. Our investigations adopt the Brownian motion model and the Lévy mobility to characterize the movement patterns of nodes in the network. We select the Brownian motion model because it can be viewed as a limiting case of the random walk mobility model and the Markovian mobility model, and thus, our analytical results can be easily extended to these mobility models; We select the Lévy mobility since the movements of nodes are usually driven by human beings carrying the devices, and the Lévy mobility can closely mimic the walks of human beings, which makes our analysis more practical. In detail, we obtain the bounds of the distribution of the dissemination distance for the one-copy case and the multiple-copy case when nodes move with the Brownian motion and the Lévy mobility, respectively, which provide the potential of mobile opportunistic networks to support the services that may involve time and location sensitive data dissemination.
Starting Page	1011
Ending Page	1019
Page Count	9
File Format	PDF
ISSN	16174909
Journal	Personal Technologies
Volume Number	19
Issue Number	7
e-ISSN	16174917
Language	English
Publisher	Springer London
Publisher Date	2015-08-27
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mobile opportunistic networks Dissemination distance Brownian motion model Lévy mobility User Interfaces and Human Computer Interaction Computer Science Personal Computing Mobile Computing
Content Type	Text
Resource Type	Article
Subject	Management Science and Operations Research Library and Information Sciences Computer Science Applications Hardware and Architecture

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