CAJ | 학술논문

传统无线网络控制系统中概率性任务调度算法存在效率低下、延迟时间长的问题。利用概率模型来解决时间和优先级问题，并提出了一种高效的任务调度算法，即通过判断队列的可调度性，提高调度的成功率。仿真实验表明，该算法适用于实时系统调度问题，且较已有的传统算法在性能上有一定的提高。
전통무선망락공제계통중개솔성임무조도산법존재효솔저하、연지시간장적문제。이용개솔모형래해결시간화우선급문제，병제출료일충고효적임무조도산법，즉통과판단대렬적가조도성，제고조도적성공솔。방진실험표명，해산법괄용우실시계통조도문제，차교이유적전통산법재성능상유일정적제고。
Traditional probabilistic task scheduling algorithm in wireless networked control system suffered from low efficiency and long delay.To solve the spatial and temporal priority problems,a probabilistic model is constructed,and a high efficient task scheduling algorithm is developed.By analyzing the schedulability of a task list,the success rate of scheduling is improved.Simulation experiments show that the algorithm is feasible for real-time systems.Moreover,the optimized algorithm has much improvement on performance compared with the existing traditional algorithms.