MEC resource allocation strategy under the Stackelberg game
Mobile edge computing(MEC)has become an effective solution to alleviate the scarcity of end devices by de-ploying computing resources at the edge of the network.To address the problem that the computing resources of the device cannot meet the task demand,this paper proposed an MEC resource allocation strategy based on the Stackelberg game.The strategy uses the Stackelberg game theory to describe the offloading process of the requesting and collaborating parties as a utility maximization problem to motivate both parties to collaborate,and designs a particle swarm-based Stackelberg game algorithm that aims to quickly obtain an optimal solution to this optimization problem.At the same time,due to the distribu-ted and tamper-proof nature of the blockchain,it is applied to the management of the collaboration process for security rea-sons.Experimental results verify that the proposed strategy can maximize the joint utility of both parties,and compared to the offloading scheme of the genetic algorithm,the proposed algorithm has faster convergence performance.
mobile edge computingresource allocation strategytask offloadingStackelberg gameblockchain
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维普
