Edge Computing Enabled Cognitive Portable Ground Penetrating Radar

Wu, Dalei and Omwenga, Maxwell M. and Liang, Yu and Yang, Li and Huston, Dryver and Xia, Tian (2019) Edge Computing Enabled Cognitive Portable Ground Penetrating Radar. In: Mobimedia 2019, 29-30 Oct 2019, Wehai, China.

[thumbnail of PDF]
Text (PDF)
eai.29-6-2019.2282886.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (1MB) | Preview


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 tradeoffs between communication and computation pose significant challenges. This paper presents an edge computing framework for cognitive portable GPRs. Specifically, the system architecture of an EC-enabled cognitive portable GPR is developed. Based on the identification 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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: gpr edge computing image processing cognitive intelligence
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor I.
Date Deposited: 10 Sep 2020 15:06
Last Modified: 10 Sep 2020 15:06
URI: https://eprints.eudl.eu/id/eprint/212

Actions (login required)

View Item
View Item