Unmanned aerial vehicle assisted thermal sensing MEC network task scheduling and resource allocation method

The invention discloses an unmanned aerial vehicle assisted thermal sensing MEC network task scheduling and resource allocation method, which minimizes the cruise time of an unmanned aerial vehicle by jointly optimizing a user access policy, task scheduling, an unmanned aerial vehicle hovering trajectory, flight time and calculation and communication resource allocation under the condition of considering CPU thermal constraints. And further decomposing the optimization problem into three sub-problems, and carrying out iterative processing in sequence. A simulation result shows that compared with other algorithms, the method provided by the invention has a better performance improvement effect. 本申请公开了一种无人机协助的热感知MEC网络任务调度和资源分配方法，在考虑CPU热约束的情况下，通过联合优化用户准入政策、任务调度、无人机悬停轨迹、飞行时间、计算与通信资源分配，来最小化无人机的巡航时间。将优化问题进一步分解为三个子问题，并按顺序进行迭代处理。仿真结果表明，与其他算法相比，本申请提出的方法具有较好的性能改进效果。