2014
DOI: 10.1002/cpe.3340
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A game‐based incentive model for service cooperation in VANETs

Abstract: Summary Because of the highly dynamic topology and the unstable service status of nodes, services in vehicular ad hoc networks (VANETs) are not always reliable enough for users. Nodes in such a VANET incline to be selfish, which will even enhance this situation. In this work, we present an incentive model for VANETs to support more reliable services in network. We model the situation of service request and response in VANETs by using game theory. We consider the competitive and cooperative relationship between… Show more

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Cited by 6 publications
(4 citation statements)
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References 31 publications
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“…Moreover, we will also construct the payoff matrix for players based on the payoff function. The game formulation presented here is an extension to our previous work in [28][29][30].…”
Section: Game Formulation For Energy-aware Dtn Routingmentioning
confidence: 97%
“…Moreover, we will also construct the payoff matrix for players based on the payoff function. The game formulation presented here is an extension to our previous work in [28][29][30].…”
Section: Game Formulation For Energy-aware Dtn Routingmentioning
confidence: 97%
“…Previous studies have investigated the problem of cooperation in VANETs using game theory, and have utilized a model with pairwise interactions [13][14][15][16][17][18][19]. This means that the effect of each player, or vehicle, is assumed to be limited to only one other companion player.…”
Section: Related Workmentioning
confidence: 99%
“…Zhang et al [13] proposed a cooperative information dissemination scheme for vehicular networks using a Markov decision process. Mao et al [15,18] proposed a cooperative content sharing mechanism using evolutionary game theory. Altman et al [16] considered the problem of finding stable cooperative strategies in VANETs using a repeated game approach.…”
Section: Related Workmentioning
confidence: 99%
“…In barter‐based motivation systems, also known as the tit‐for‐tat (TFT) approach, nodes share the same information. Mao et al 22 proposed a game‐based incentive scheme. Two types of relationship, competitive and cooperative, are considered.…”
Section: Related Workmentioning
confidence: 99%