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dc.contributor.authorMunjal, Ren_NZ
dc.contributor.authorLiu, Wen_NZ
dc.contributor.authorLi, XJen_NZ
dc.contributor.authorGutierrez, Jen_NZ
dc.date.accessioned2019-12-09T03:25:53Z
dc.date.available2019-12-09T03:25:53Z
dc.date.copyright2019-10en_NZ
dc.identifier.citationIn 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 3361-3366). IEEE.
dc.identifier.urihttp://hdl.handle.net/10292/13064
dc.description.abstractWith the explosive increase in the number of mobile devices such as smartphones or laptops, the design of mobile applications becomes increasingly complex, power hungry and resource consuming. Therefore, conventional networks are facing serious problems such as traffic overload and energy consumption due to high traffic demands. As a result, network designers are looking for more options to accommodate numerous data requirements. Aiming to find a promising way to tackle this problem, we are investigating heterogeneous networking architectures, which utilize the existing public transport network as an alternative communication network along with infrastructure-based networks. We propose a heterogeneous network architecture called Software Defined Connectivity (SDC) that utilizes the flow of transport network such as buses, trains, and ferries to start the forwarding process from nearby parking/offloading spots to disseminate data along with conventional networks. Results show that the SDC architecture helps in data offloading over public transport vehicles as per the profiles of each user with significant savings of energy.
dc.publisherIEEEen_NZ
dc.relation.urihttps://ieeexplore.ieee.org/document/8917322
dc.rightsCopyright © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectDelay Tolerant Network; Smart Public Transport Vehicles; Big Data; Network Selection
dc.titleBig Data Offloading using Smart Public Vehicles with Software Defined Connectivityen_NZ
dc.typeConference Contribution
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.1109/itsc.2019.8917322en_NZ
pubs.elements-id366854
aut.relation.conference2019 IEEE Intelligent Transportation Systems Conference - ITSCen_NZ


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