Adaptive Task Reallocation for Airborne Sensor Sharing

J. Beal, K. Usbeck, J. Loyall, Mason Rowe, J. Metzler
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引用次数: 7

Abstract

Airborne sensor platforms are becoming increasingly significant for both civilian and military operations, yet at present their sensors are typically idle for much of their flight time. Opportunistic sensor sharing, e.g., via the Mission-Driven Tasking of Information Producers (MTIP) can greatly improve sensor utilization, both decreasing the number of platforms needed to achieve a goal and increasing sensor efficacy. Dynamically changing environments, however, are likely to rapidly render any initial plan obsolete. In this paper, we address the challenge of adaptive reallocation of sensor sharing tasks, demonstrating how the adaptable sensor sharing of MTIP can provide significant performance improvements in a large-scale disaster response scenario, as well as identifying areas of inefficiency that are likely to benefit from further improvement.
机载传感器共享的自适应任务再分配
机载传感器平台在民用和军事行动中变得越来越重要,但目前它们的传感器通常在大部分飞行时间内处于闲置状态。机会传感器共享,例如,通过信息生产者的任务驱动任务(MTIP),可以大大提高传感器的利用率,既减少了实现目标所需的平台数量,又提高了传感器的效率。然而,动态变化的环境可能会迅速使任何初始计划过时。在本文中,我们解决了传感器共享任务的自适应重新分配的挑战,展示了MTIP的自适应传感器共享如何在大规模灾难响应场景中提供显着的性能改进,并确定了可能从进一步改进中受益的低效率领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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