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Information Acquisition Incentive Mechanism Based on Evolutionary Game Theory
Author(s) -
Lihong Dong,
Xirong Wang,
Beizhan Liu,
Tianwei Zheng,
Zheng Wang
Publication year - 2021
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2021/5525791
Subject(s) - computer science , bottleneck , game theory , knowledge acquisition , complete information , incentive , reliability (semiconductor) , mechanism (biology) , data acquisition , information sharing , evolutionary game theory , data mining , artificial intelligence , world wide web , economics , power (physics) , philosophy , physics , epistemology , quantum mechanics , microeconomics , embedded system , operating system
Based on evolutionary game theory, this paper proposes a new information acquisition mechanism for intelligent mine construction, which solves the problem of incomplete information acquisition in the construction of new intelligent mining area and reduces the difficulty of information acquisition, which solves the problem of the imperfect mine information acquisition in the construction of a new smart mine regions and decreases the difficulty of a mine information acquisition. Based on the evolutionary game model, the perceptual incentive model based on group is established. The reliability of information collection is ensured by sharing and modifying the information collector. Through the analysis of the simulation results, it is found that the regional coverage model based on the cooperation in game theory and evolutionary game theory has a good effect on solving the bottleneck problem of the current intelligent mining area. This paper has an enlightening effect on the optimization of the mine information acquisition system. Through the improvement of the mine information acquisition system, the working efficiency of the information acquisition terminal can be effectively increased by 6%.

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