2019
DOI: 10.1109/access.2019.2952664
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Stackelberg-Game-Based Mechanism for Opportunistic Data Offloading Using Moving Vehicles

Abstract: Data offloading through vehicular ad hoc networks (VANETs) is one of the most promising methods for overcoming the overload problem in cellular networks. As data delivery by service providers consumes resources such as bandwidth, storage and power, the incentive scheme with the optimal pricing strategy must be identified. In the literature, most incentive schemes focus on offloading through fixed nodes, such as roadside units (RSUs). It remains very challenging to motivate a moving vehicle to help other users … Show more

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Cited by 25 publications
(16 citation statements)
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References 41 publications
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“…Khan et al [ 27 ] introduced an evolutionary game theory based intelligent packet forwarding approach that stimulates the node cooperation in MANETs. Yang et al [ 28 ] proposed a Stackelberg game based optimal pricing strategy to model data offloading in VANETs scenarios. AI-Terri et al [ 29 ] proposed two TFT-based strategies, namely Group Reputation and Cooperative Detection strategies, to enforce MAC layer cooperation in VANETs.…”
Section: Related Workmentioning
confidence: 99%
“…Khan et al [ 27 ] introduced an evolutionary game theory based intelligent packet forwarding approach that stimulates the node cooperation in MANETs. Yang et al [ 28 ] proposed a Stackelberg game based optimal pricing strategy to model data offloading in VANETs scenarios. AI-Terri et al [ 29 ] proposed two TFT-based strategies, namely Group Reputation and Cooperative Detection strategies, to enforce MAC layer cooperation in VANETs.…”
Section: Related Workmentioning
confidence: 99%
“…Adoption of game theory for a minimal price of data dissemination has been carried out by Yang et al [23]. It is also explored that channel scheduling signi cantly assists in opportunistic routing, as Al-Fuqaha et al [24].…”
Section: Adhoc-based Approachmentioning
confidence: 99%
“…In fact, caching content in the edge nodes (e.g., RSUs) of the network can reduce the congestion of the backhaul network and the download latency, and then motivate the content downloads from moving vehicles [ 14 ]. However, the edge nodes in VANETs have limited cache space and need to pay the running cost [ 8 , 15 ]. Therefore, the optimal caching strategy developed for them is a key issue for content caching.…”
Section: Introductionmentioning
confidence: 99%
“…In the last few years, a lot of research work about content caching in VANETs has been carried out [ 8 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ]. Wang, X. takes advantage of vehicular cloud to reduce the content delivery cost and latency, where vehicular cloud members store and provide the content locally so that vehicles can rapidly retrieve the content from the nearest member [ 16 ].…”
Section: Introductionmentioning
confidence: 99%
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