Literature Database Entry


P. Kolios, C. Panayiotou and G. Ellinas, "ExTraCT: Expediting Offloading Transfers Through Intervehicle Communication Transmissions," IEEE Transactions on Intelligent Transportation Systems (TITS), vol. 16 (3), pp. 1238–1248, June 2015.


sector, Vehicular connectivity is considered as one of the most highly anticipated emerging technologies since it promises to transform the automotive and within, have a significant impact on all related markets. Data gathered (and information generated) and around vehicles will be used to improve road safety, travelling efficiency, and comfort, passenger and convenience. However, delivering such data to the infrastructure (to process information and generate intelligence) is a challenging task, mainly due to the very large volume of data traffic produced. A promising approach to support these communication needs is to deliver data traffic opportunistically through the available WiFi APs. Evidently, the intermittent connectivity of these hotspots and the inherent mobility of the vehicles severely limit the volume of traffic sent at any one instance in time. The latter limitation is studied in this paper, where decision policies are derived for vehicle-to-vehicle-assisted offloading to maximize the transmission opportunities and thus expedite data traffic delivery. As illustrated in this paper, these policies are easy to implement in practice and offloading, offer significant improvement in vehicular data traffic offloading as compared with opportunistic and practices., basic relaying

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P. Kolios
C. Panayiotou
G. Ellinas

BibTeX reference

    author = {Kolios, P. and Panayiotou, C. and Ellinas, G.},
    doi = {10.1109/TITS.2014.2357221},
    issn = {1524-9050},
    journal = {IEEE Transactions on Intelligent Transportation Systems (TITS)},
    month = {6},
    number = {3},
    pages = {1238--1248},
    publisher = {Institute of Electrical and Electronics Engineers},
    title = {{ExTraCT: Expediting Offloading Transfers Through Intervehicle Communication Transmissions}},
    volume = {16},
    year = {2015},

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