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Data Offloading in 5G-Enabled Software-Defined Vehicular Networks: A Stackelberg-Game-Based Approach

Aujla, G. ; Chaudhary, R. ; Kumar, N. K. ; Rodrigues, J. R. ; Vinel, A. V.

IEEE Communications Magazine Vol. 55, Nº 8, pp. 100 - 108, August, 2017.

ISSN (print): 0163-6804
ISSN (online):

Journal Impact Factor: 4,007 (in 2014)

Digital Object Identifier: 10.1109/MCOM.2017.1601224

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Abstract
Data offloading using vehicles is one of the most challenging tasks to perform due to the high mobility of vehicles. There are many solutions available for this purpose, but due to the inefficient management of data along with the con- trol decisions, these solutions are not adequate to provide data offloading by making use of the available networks. Moreover, with the advent of 5G and related technologies, there is a need to cope with high speed and tra c congestion in the existing infrastructure used for data offloading. Hence, to make intelligent decisions for data offloading, an SDN-based scheme is presented in this article. In the proposed scheme, an SDN-based controller is designed that makes decisions for data o loading by using the priority manager and load balancer. Using these two managers in SDN-based controllers, tra c routing is managed e ciently even with an increase in the size of the network. Moreover, a single-leader multi-follower Stackelberg game for network selection is also used for data offloading. The proposed scheme is evaluated with respect to several parameters where its performance was found to be superior in comparison to the existing schemes.