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A Priority Task Scheduling Algorithm based on Residual Energy in EH-WSNs

机译:基于EH-WSNS中剩余能量的优先任务调度算法

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Energy Harvesting Wireless Sensor Networks (EHWSNs) have been widely studied in recent years. In solar charged EH-WSNs, the Sun illumination changes with the changes of environment, in consequence the collected energy of the sensor node is unstable, especially in rainy day, windy day or the angle of the solar panel changes. Therefore, the reasonable assignment of energy in EH-WSNs becomes critical important. In This paper, based on the solar energy charateristics, we propose a priority task scheduling algorithm that suitable for EH-WSNs, that is, the transmission method and order of collected data are determined according to task priority and the remaining energy of the node. The simulation results show that the priority task scheduling algorithm guarantees the fairness of node energy distribution, the timeliness of sending urgent tasks and the high processing rate of common tasks when the energy provided by the environment is small.
机译:近年来,能源收集无线传感器网络(EHWSNS)已被广泛研究。在太阳能充电的EH-WSN中,太阳照明随着环境的变化而变化,结果传感器节点的收集能量不稳定,特别是在雨天,刮风的一天或太阳能电池板的角度发生变化。因此,EH-WSN中的能量合理分配变得至关重要。本文基于太阳能查理学,我们提出了一种优先任务调度算法,适用于EH-WSN,即收集数据的传输方法和顺序是根据任务优先级和节点的剩余能量确定的。仿真结果表明,优先任务调度算法保证了节点能量分布的公平性,当环境提供的能量小时,发出紧急任务的顺序以及常用任务的高处理率。

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