使用电动车辆和直升机进行广域灾难监视

K. Mase
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引用次数: 11

摘要

在本研究中,我们假设许多电动汽车(ev)及其各自的伙伴无人驾驶电动直升机(EH)合作从事广域灾害监测和数据传输到中心节点。我们提出了一个简单的区域划分模型,假设一个宽的方形区域和一维的电动汽车布局。具体而言,每个EV- eh对负责一个不重叠的子区域监测,监测数据临时存储在EV中。伙伴EH用于将在子区域获得的监测数据,以及从直接下游EV传输的监测数据,通过carry和forward传输到上游EV。我们提出了两种高效监控和数据传输的原则,即任务均衡分区和同步数据切换。数值算例表明,任务均衡分区的周期时间比统一分区略短,同步切换的数据传递时间明显短于异步切换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wide-area disaster surveillance using electric vehicles and helicopters
In this study, we assume that a number of electric vehicles (EVs), each with its respective partner unmanned electric helicopter (EH), are cooperatively engaged in wide-area disaster surveillance and data delivery to the center node. We present a simple model for area zoning assuming a wide square area and one-dimensional EV placement. Specifically, each EV-EH pair is in charge of a non-overlapping sub-area surveillance, and the surveillance data are temporarily stored in the EV. The partner EH is used to transfer the surveillance data, which are obtained in the sub-area in addition to those transferred from the immediate downstream EV, to the upstream EV via carry and forward. We present two principles for time-efficient surveillance and data transfer, that is, task-balanced zoning and synchronous data handover. Numerical examples are provided to show that the task-balanced zoning yields a slightly lower cycle time than does the uniform zoning, and synchronous handover results in significantly shorter data delivery times than does asynchronous handover.
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