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Analysis and Improvement of Content Distribution Algorithms in
Opportunistic Networks
,
M.Sc. Thesis
Sharif University of Technology
;
Pakravan, Mohammad Reza
(Supervisor)
Abstract
Ever growing users’ demand for higher mobile data traffic and a rise in the number of communicating devices in the network oblige operators to design novel schemes in order to respond to users’ requirements. The limited available frequency spectrum cannot handle this increased data traffic demand in cellular networks. It is estimated that by 2020 the amount of traffic in mobile networks, grows ten times more than mobile traffic in 2014. Data offloading is an existing approach that enables operators to support users’ demands. In this approach, in addition to utilizing Wi-Fi technology as a means to transfer data as well as conventional cellular communications, opportunistic communications...
Feature-based content dissemination process in opportunistic networks
, Article 26th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015, 30 August 2015 through 2 September 2015 ; Volume 2015-December , 2015 , Pages 1464-1469 ; 9781467367820 (ISBN) ; Elhami, G ; Pakravan, M. R ; Sharif University of Technology
2015
Abstract
In order to respond to drastically increased traffic demands in mobile networks such as cellulars, opportunistic communication has been introduced as a data offloading strategy. Delivering the contents using peer-to-peer data dissemination is more preferable compared to epidemic diffusion schemes. To implement peer-to-peer dissemination, one needs to define the peer selection and content dissemination policies. Efficient content dissemination relies on the selection of suitable peers. Besides that, the peers require to choose what contents to be transmitted between them. In this paper, we propose multi-level master/slave peer selection algorithm (MMSA) and variance-based multi-metric chunk...