Research On Decision-making Mechanism Of Participatory Task Based On Game Theory

With the explosive popularity of wireless mobile terminal equipment,participatory sensing has been produced with a new Internet of things perception mode through the combination of mobile awareness and crowdscourcing.This new type of perceptual computing model will be the basic user's mobile terminal equipment as a basic perception unit,through the mobile Internet for conscious or unconscious collaboration,the formation of group-aware network,to achieve the task of distribution and perception of data collection,complete large-scale,complex Social perception task.This kind of human-centered based characteristic brings unprecedented opportunity for the Internet of things perception and transmission,because the network deployment cost is lower,the network maintenance is easier,the system is more scalable and so on.The group senses the network becomes the Internet of things New and important means of perception.Group-aware applications rely on a large number of ordinary users to participate in,and users will be involved in the perception of their own equipment consumption,computing,storage,communications and other resources and assume the threat of privacy disclosure,so the design of reasonable incentives for users to participate in the perception of the pay The cost of compensation to attract enough users to participate in the perception of the task to ensure that the required data collection quality is a key issue to be solved urgently.This paper proposes to introduce the social network relationship among the participating nodes,carry out the task recommendation and share the task reward,so as to stimulate the participation of more involved nodes.In this paper,we propose how to encourage the recruitment of a sufficient number of participating nodes to participate in the perception task.Based on the game theory,this paper models the groupware perception process and generates the participating node revenue function according to the task reward and sharing relation among the participating nodes.Then we discuss the main parameters of the participating nodes in the income function and classify them so that the optimal strategy of the participating nodes in each partition reaches its maximum income value.Because the participant node is subjective initiative,the choice has certain preference,and it is important to make the strategy choice of the participating nodes reach a stable state.Therefore,we evaluate the optimal solution strategy of the income function,and propose a perceptual task participation strategy optimization algorithm(PSOA),which is simulated,the data is simulated and the expected effect is obtained.