Edge Computing Enabled Cognitive Portable Ground Penetrating Radar
Edge Computing Enabled Cognitive Portable Ground Penetrating Radar
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DOI：
10.4108/eai.29-6-2019.2282886
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发表时间：
2019
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影响因子：
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通讯作者：
Dalei Wu;Maxwell M. Omwenga;Yu Liang;Li Yang;D. Huston;Tian Xia
中科院分区：
文献类型：
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作者：
Dalei Wu;Maxwell M. Omwenga;Yu Liang;Li Yang;D. Huston;Tian Xia
。凭借靠近最终用户的分布式通信、计算和存储资源，边缘计算在支持涉及智能边缘设备的延迟敏感型工业应用方面具有巨大潜力。认知便携式探地雷达（GPR）有望通过在不同的传感条件下智能、自适应地运行，在各种工业环境中实现高质量的传感性能。尽管边缘计算使得开发认知便携式探地雷达非常有希望，但严格的性能要求以及通信和计算之间的权衡都带来了巨大的挑战。本文提出了一种用于认知便携式探地雷达的边缘计算框架。具体来说，开发了支持 EC 的认知便携式探地雷达的系统架构。基于各种涉及的计算任务的识别，提出了一种卸载策略来确定计算任务是应该在本地执行还是卸载到边缘服务器。实验结果表明了所提出方法的有效性。该框架还提供了对边缘计算支持的认知物联网 (IoT) 设计的深入了解。
. With distributed communication, computation, and storage resources close to end users, edge computing has great potentials to support delay-sensitive industrial applications involving intelligent edge devices. Cognitive portable ground penetrating radars (GPRs) are expected to achieve high-quality sensing performance in a variety of industrial environments by operating intelligently and adaptively under varying sensing conditions. Although edge computing makes it very promising to develop cognitive portable GPRs, both strict performance requirement and trade-offs between communication and computation pose significant challenges. This paper presents a n edge computing framework for cognitive portable GPRs. Specifically, the system architecture of an EC-enabled cognitive portable GPR is developed. Based on the iden tification of various involved computation tasks, an offloading policy was proposed to determine whether computation tasks should be executed locally or offloaded to the edge server. Experimental results show the efficacy of the proposed methods. The framework also provides insight into the design of cognitive Internet of things (IoT) supported by edge computing.