research-article

Energy Efficient and Real-Time Remote Sensing in AI-Powered Drone

Authors:

Junyoung Heo Academic Editor:

Hoon KoAuthors Info & Claims

Mobile Information Systems, Volume 2021

https://doi.org/10.1155/2021/6650053

Published: 01 January 2021 Publication History

Abstract

Remote sensing using drones has the advantage of being able to quickly monitor large areas such as rivers, oceans, mountains, and urban areas. In the case of applications dealing with large sensing data, it is not possible to send data from a drone to the server online, so it must be copied to the server offline after the end of the flight. However, online transmission is essential for applications that require real-time data analysis. The existing computation offloading scheme enables online transmission by processing large amounts of data in a drone and transferring it to the server, but without consideration for real-time constraints. We propose a novel computation offloading scheme which considers real-time constraints while minimizing the energy consumption of drones. Experimental results showed that the proposed scheme satisfied real-time constraints compared to the existing computation offloading scheme. Furthermore, the proposed technique showed that real-time constraints were satisfied even in situations where delays occurred on the server due to the processing of requests from multiple drones.

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Cited By

Li ZDemir I(2024)MultiRS flood mapperEnvironmental Modelling & Software10.1016/j.envsoft.2024.106022176:COnline publication date: 9-Jul-2024
https://dl.acm.org/doi/10.1016/j.envsoft.2024.106022
Almalki FAlbraikan ASoufiene BAli O(2022)Utilizing Artificial Intelligence and Lotus Effect in an Emerging Intelligent Drone for Persevering Solar Panel EfficiencyWireless Communications & Mobile Computing10.1155/2022/77415352022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/7741535

Index Terms

Energy Efficient and Real-Time Remote Sensing in AI-Powered Drone
1. Applied computing
2. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Mobile Information Systems

Mobile Information Systems Volume 2021, Issue

2021

6406 pages

ISSN:1574-017X

EISSN:1875-905X

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Copyright © 2021 Bongjae Kim et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IOS Press

Netherlands

Publication History

Published: 01 January 2021

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Cited By

Li ZDemir I(2024)MultiRS flood mapperEnvironmental Modelling & Software10.1016/j.envsoft.2024.106022176:COnline publication date: 9-Jul-2024
https://dl.acm.org/doi/10.1016/j.envsoft.2024.106022
Almalki FAlbraikan ASoufiene BAli O(2022)Utilizing Artificial Intelligence and Lotus Effect in an Emerging Intelligent Drone for Persevering Solar Panel EfficiencyWireless Communications & Mobile Computing10.1155/2022/77415352022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/7741535

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