Item type |
itemtype_ver1(1) |
公開日 |
2022-10-17 |
タイトル |
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タイトル |
Periodic Networked Imaging With Nanoscale Sensor Nodes via Two-Layered Time-Division Access |
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言語 |
en |
著者 |
Nishibori, Shoma
Murase, Tutomu
Tadokoro, Yukihiro
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アクセス権 |
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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 |
権利 |
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言語 |
en |
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権利情報 |
“© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” |
内容記述 |
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内容記述 |
As the Internet of Things (IoT) has become a widespread phenomenon, promising sensor applications at the nanoscale have begun to emerge. One example is imaging via distributed massive nanoscale nodes (NSNs), which can be used to implement “invisible surveillance cameras” by, for example, painting liquids containing nanoscale sensors onto walls. This imaging method requires periodic data transfer from thousands of NSNs to a data collection node (DCN). An essential technique for handling such transfers is the media access control (MAC) protocol. However, existing protocols cannot support periodic transfer from numerous NSNs because of inefficient communication caused by a large amount of headers in the packets. In this article, we introduce an original MAC protocol and discuss its capability in terms of implementing imaging applications. The proposed protocol applies a time-division access (TDA) feature to reduce the amount of headers and a two-layered protocol to enable simultaneous transmission among nodes. Slot assignment is an essential function in TDA and requires communication among nodes. Unlike existing methods, our simple approach enables communication by exploiting the unique features of the focused application. The results of the numerical simulation reveal that the proposed MAC protocol allows for periodic imaging with more than three thousand nodes and produces high-quality images very close to those obtained using ideal communication. These results are achieved by employing an original design framework to determine appropriate key parameters, such as the number of clusters and frame rate. |
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言語 |
en |
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内容記述タイプ |
Abstract |
出版者 |
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言語 |
en |
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出版者 |
IEEE |
言語 |
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言語 |
eng |
資源タイプ |
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資源タイプresource |
http://purl.org/coar/resource_type/c_6501 |
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タイプ |
journal article |
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 |
関連情報 |
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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/JIOT.2021.3112711 |
収録物識別子 |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
2327-4662 |
書誌情報 |
en : IEEE Internet of Things Journal
巻 9,
号 8,
p. 6213-6223,
発行日 2022-04
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