Method for updating and optimizing complex state of Internet of Things assisted by unmanned aerial vehicle under time-varying channel

The invention discloses a method for updating and optimizing the complex state of the Internet of Things assisted by an unmanned aerial vehicle under a time-varying channel. The method comprises the steps of establishing a state space for an unmanned aerial vehicle auxiliary complex state information updating process under a block fading channel, deducing a state probability equation based on a threshold value, constructing a linear programming problem, and obtaining an optimal threshold value by solving the linear programming problem under different threshold values. And finally, enabling the Internet of Things equipment and the unmanned aerial vehicle to select the behavior determined by the threshold value. According to the optimization method provided by the invention, a complex dynamic strategy optimization problem can be converted into a linear programming problem which is easy to solve, so that the calculation complexity of obtaining an optimization strategy is greatly reduced. Simulation results show