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中文摘要：
在物联网时代,传感器在环境监测等领域得到了越来越广泛的应用,然而其监测性能的进一步提升受到了传感器自身能量、通信及硬件资源的制约。相对固定频率采样的传感器,变频采样的传感器在监测性能上更有优势。针对传感器的应用场景提出了一种策略模型,在此基础上设计了一种应用于节点异常监测状态的频率控制（Dis Tros）算法,并用MATLAB/Simulink工具进行了仿真分析。Dis Tros算法的两种子算法可分别应用于监测对象的快速变化及慢速变化两种应用场景。最后的仿真结果表明,该算法在快速变化场景下保证了监测的实时性,在慢速变化场景下保证了监测的密集度。
英文摘要：
In the age of Internet of things, variety of fields has applied sensors in their applications, like environmental moni- toring. But the monitoring performance enhancement has many restrictions such as sensors＇ limited energy, communication and hardware resources. In contrast to fitted sampling rate sensors, changeable sampling rate sensors have advantages on moni- toring performance. According to different sensors application scenarios, this paper proposed a strategy model. Based on that, it designed a rate control algorithm called DisTros to apply to abnormal monitoring state of sensors. It applied two sub-algo- rithms of DisTros in corresponding fast-changing and slow-changing scenarios. At last, it conducted a simulation using MAT- LAB/Simulink tool. The result of simulation shows that the algorithm ensures real-time monitoring under fast-changing scenari- os and intensive monitoring under slow-changing scenarios.
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