As an important part of the new wireless network, the fog network has limited storage capacity and high energy consumption problems of fog nodes. Therefore, this paper focuses on the optimization of fog node data storage hit rate and energy consumption in fog networks. First, a mathematical model including fog nodes, users, and files was established within the specified range, and the objective function of the hit rate and energy consumption was established for this model. Then the NSGA-II multi-objective optimization algorithm was used to jointly calculate the hit ratio and energy consumption. and obtain multiple sets of global optimal solution storage methods. Finally, simulation analysis shows that the optimized storage strategy not only effectively reduces the energy consumption under the premise of ensuring the hit ratio, but also finds that the amount of data stored by the fog node is significantly reduced, thereby extending the life of the fog node storage device life. Conducive to reducing the cost of deployment and maintenance of fog nodes.
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