基于无人机和数据管理的菠萝监测系统边缘主计算

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2020-09-01 DOI:10.1109/IIAI-AAI50415.2020.00088

Tomoki Kobayashi, Tomoyuki Yokogawa, Nao Igawa, Yoichiro Sato, Kimihoro Sugino, Hiroshi Miyata, S. Fujii, Kazutami Arimoto

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引用次数: 1

摘要

本文介绍了一种基于边缘计算的菠萝监测系统，该系统由传感无人机和数据库组成。在不久的将来，传输到计算机系统的海量传感数据将从云端转移到边缘。这种变化的优点是低功耗、减少数据传输、实时操作和安全问题。为了充分利用这些优点，提出了有效压缩传感数据、节能网络和面向边缘的数据管理架构。利用上述核心技术设计了菠萝监测系统，并对系统性能的提升进行了评估。

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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A Edge Master Computing for Pineapple Monitoring System with Drone and Data-management

This paper describes the pineapple monitoring system based on the edge computing which consists of the sensing drone and database. A huge sensing data transferred to the computer system will be changed from the cloud to edge, near future. The merits of this change are low power dissipation, reducing data transfer, real time operation, and security issues. To enjoy these merits, effective compaction of sensing data, energy efficient networking, and edge oriented data management architecture has been proposed. We design the pineapple monitoring system using above core technologies and evaluates the enhancement of system performance.

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2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)

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