基于剩余能量的EH-WSNs优先级任务调度算法

Wuyungerile Li, Hao Gao, Yingcong Liu, Bing Jia, Baoqi Huang
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引用次数: 2

摘要

能量收集无线传感器网络(EHWSNs)近年来得到了广泛的研究。在太阳能充电EH-WSNs中,太阳光照随环境变化而变化,因此传感器节点收集的能量不稳定,特别是在雨天、刮风天或太阳能电池板角度变化时。因此,EH-WSNs中能量的合理分配变得至关重要。本文根据太阳能的特点,提出了一种适用于EH-WSNs的优先级任务调度算法,即根据任务优先级和节点剩余能量确定采集数据的传输方式和顺序。仿真结果表明,优先级任务调度算法在环境提供的能量较小的情况下,保证了节点能量分配的公平性、发送紧急任务的时效性和普通任务的高处理率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Priority Task Scheduling Algorithm based on Residual Energy in EH-WSNs
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.
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