Ecole d'ingénieur et centre de recherche en Sciences du numérique

Inferring content-centric traffic for opportunistic networking from geo-location social networks

Sermpezis, Pavlos; Spryropoulos, Thrasyvoulos

WOWMOM 2015, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, June 14-17, 2015, Boston, MA, USA

Opportunistic networking has been proposed to support a number of novel applications, like content sharing or mobile data offloading, that follow a content-centric communication model, i.e., many users are interested in the same content. Users' traffic demand patterns can crucially affect the performance of such applications, but our knowledge about the characteristics of content demand is limited. Nevertheless, opportunistic networking is known to exhibit strong locality and social characteristics. For this reason, in this paper we argue that some initial insights about opportunistic traffic patterns could be inferred from geo-social network data. In particular, we study the check-in patterns of users in datasets of two real Location-Based Social Networks, towards understanding potential traffic characteristics and implications for opportunistic networking.

Document Doi Bibtex

Titre:Inferring content-centric traffic for opportunistic networking from geo-location social networks
Type:Conférence
Langue:English
Ville:Boston
Pays:ÉTATS-UNIS
Date:
Département:Systèmes de Communication
Eurecom ref:4656
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Bibtex: @inproceedings{EURECOM+4656, doi = {http://dx.doi.org/10.1109/WoWMoM.2015.7158185}, year = {2015}, title = {{I}nferring content-centric traffic for opportunistic networking from geo-location social networks}, author = {{S}ermpezis, {P}avlos and {S}pryropoulos, {T}hrasyvoulos}, booktitle = {{WOWMOM} 2015, {IEEE} {I}nternational {S}ymposium on a {W}orld of {W}ireless, {M}obile and {M}ultimedia {N}etworks, {J}une 14-17, 2015, {B}oston, {MA}, {USA}}, address = {{B}oston, {\'{E}}{TATS}-{UNIS}}, month = {06}, url = {http://www.eurecom.fr/publication/4656} }
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