| アイテムタイプ |
学術雑誌論文 / Journal Article.(1) |
| 公開日 |
2025-06-23 |
| 書誌情報 |
en : IEEE Transactions on Green Communications and Networking
巻 8,
号 1,
p. 572-582,
発行日 2023-10-02
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| タイトル |
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|
タイトル |
Building Energy Efficient Semantic Segmentation in Intelligent Edge Computing |
|
言語 |
en |
| 言語 |
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|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Intelligent edge computing |
| キーワード |
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|
言語 |
en |
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主題Scheme |
Other |
|
主題 |
semantic segmentation |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
multi-armed bandit (MAB) |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
energy efficiency |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
Yuan, Xingyu
李, 鶴
太田, 香
董, 冕雄
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| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
Semantic segmentation is a critical area in computer vision, which needs voluminous image data streaming from user devices. Usually, it is challenging to process semantic segmentation tasks in user devices due to the limited computation power and battery life. Intelligent edge computing effectively enhances the accuracy of semantic segmentation tasks by offloading computations to nearby devices, providing lower latency and improved responsiveness. However, inefficient offloading brings additional energy consumption due to the irregular relationship between task requirements and offloading settings. In this paper, we attempt to improve energy efficiency for processing semantic segmentation tasks in the edge environment by leveraging energy consumption and task requirements. We first investigate the power consumption with different offloading settings in a real intelligent edge environment. Based on the investigation, we formulate the offloading setting as a restricted multi-armed bandit problem and solve it by enhancing the upper confidence bound algorithm. Comprehensive simulation results show that the proposed solution significantly improves the energy efficiency for offloading semantic segmentation tasks in a given intelligent edge environment. |
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言語 |
en |
| 出版者 |
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出版者 |
IEEE |
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言語 |
en |
| DOI |
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|
関連タイプ |
isVersionOf |
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|
識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1109/TGCN.2023.3321113 |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
2473-2400 |
| 権利 |
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|
権利情報 |
© Copyright 2025 IEEE |
|
言語 |
en |
| 出版タイプ |
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
1.+Building+Energy+Efficient+Semantic+Segmentation+in+Intelligent+Edge+Computing.pdf (2.2 MB)
