Social-Aware Device-to-Device Offloading Based on Experimental Mobility and Content Similarity Models

LAUR Repository

Show simple item record

dc.contributor.author Aoude, LynnSharafeddine, Sanaa
dc.contributor.author Dawy, Zaher
dc.contributor.author Sharafeddine, Sanaa
dc.contributor.author Frenn, Karim
dc.contributor.author Jahed, Karim
dc.date.accessioned 2018-06-07T10:25:30Z
dc.date.available 2018-06-07T10:25:30Z
dc.date.copyright 2018 en_US
dc.date.issued 2018-06-07
dc.identifier.issn 1530-8669 en_US
dc.identifier.uri http://hdl.handle.net/10725/8024
dc.description.abstract Device-to-device (D2D) offloading has been shown to be a highly effective technique to enhance the performance of wireless networks. Yet, for any two mobile users to share data efficiently and reliably via D2D links, they should be in close proximity for long enough period of time, share similar content interests, and have some level of incentive and trust to cooperate. In this work, we focus on the practical implementation aspects of D2D data sharing taking into account realistic operational conditions. To this end, we design and conduct an experimental study to collect location and neighbor discovery data from 38 mobile users in a university campus over several weeks using our own customized crowdsourcing Android mobile application. The collected data is then processed and utilized to empirically model mobility-related parameters that include contact frequency, contact duration, and inter-contact duration. The participating users did also fill a user interest survey in order to correlate mobility and connectivity patterns with content interests and social network relations. The obtained insights are then used to develop a practical implementation framework for designing effective D2D data sharing strategies. To test the proposed ideas under realistic operational constraints, we design and implement a social-aware D2D data sharing Android mobile application and demonstrate its functionality and effectiveness using an example case study scenario en_US
dc.language.iso en en_US
dc.title Social-Aware Device-to-Device Offloading Based on Experimental Mobility and Content Similarity Models en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SAS en_US
dc.author.idnumber 200502746 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.relation.journal Wireless Communications and Mobile Computing en_US
dc.journal.volume 2018 en_US
dc.article.pages 1-16 en_US
dc.identifier.doi https://doi.org/10.1155/2018/5606829 en_US
dc.identifier.ctation Aoude, L., Dawy, Z., Sharafeddine, S., Frenn, K., & Jahed, K. (2018). Social-Aware Device-to-Device Offloading Based on Experimental Mobility and Content Similarity Models. Wireless Communications and Mobile Computing, 2018. en_US
dc.author.email sanaa.sharafeddine@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://www.hindawi.com/journals/wcmc/2018/5606829/abs/ en_US
dc.orcid.id https://orcid.org/0000-0001-6548-1624 en_US
dc.author.affiliation Lebanese American University en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search LAUR

Advanced Search


My Account