基于无源感知平台的任务优先级分配策略

Task Priority Allocation Strategy Based on Wirelessly-powered Sensing Platform

当前无源感知领域的研究受到越来越多人的关注.无源感知平台可以从射频信号中获取能量,但是其捕获能量的速率不高,同时实时系统中任务具有偶发性,系统容易进入过载状态.为了满足多无源感知平台系统任务的合理调度,本文兼顾任务价值、时间紧迫度以及任务耗能大小,提出了适合无源感知平台的动态分配任务优先级WDPA策略.该策略保护执行任务不易被抢占,增加等待任务被执行的可能性,同时根据耗能大小来影响优先级分配,使得实时系统中任务尽可能成功执行.

The current research in the field of wirelessly?powered sensing has attracted more and more attention.The wirelessly-powered sensing platform can extract energy from the RF signal,but the rate of capturing energy is not high,and the task in the real-time system is sporadic,and the system is easy to enter the overload state.In order to meet the reasonable scheduling of multi-wire-lessly-powered sen sing platform system tasks,this paper considers the task value,time urgency and task energy consumption,and proposes a dynamic allocation task priority WDPA strategy suitable for wirelessly-powered sensing platform.The strategy protects the execution task from being easily preempted,increases the possibility of waiting for the task to be executed,and affects the priority allocation according to the energy consumption level,so that the task in the real-time system is exec ted as successfully as possible.