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DisLoc: A Convex Partitioning Based Approach for Distributed 3-D Localization in Wireless Sensor Networks
http://hdl.handle.net/10258/00009652
http://hdl.handle.net/10258/00009652ae473913-9186-46cb-b8b7-e2bf7333b687
名前 / ファイル | ライセンス | アクション |
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IEEESJ_17_24_8412_8423 (4.0 MB)
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Item type | 学術雑誌論文 / Journal Article.(1) | |||||||||||
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公開日 | 2018-06-28 | |||||||||||
タイトル | ||||||||||||
言語 | en | |||||||||||
タイトル | DisLoc: A Convex Partitioning Based Approach for Distributed 3-D Localization in Wireless Sensor Networks | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Convex partition | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | localization | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | 3D wireless sensor networks | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
資源タイプ | journal article | |||||||||||
アクセス権 | ||||||||||||
アクセス権 | open access | |||||||||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||
著者 |
FAN, Jin
× FAN, Jin× HU, Yidan× LUAN, Tom H.× 董, 冕雄
WEKO
39157
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室蘭工業大学研究者データベースへのリンク | ||||||||||||
董 冕雄(DONG Mianxiong) | ||||||||||||
http://rdsoran.muroran-it.ac.jp/html/100000145_ja.html | ||||||||||||
抄録 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | Accurate localization in wireless sensor networks (WSNs) is fundamental to many applications, such as geographic routing and position-aware data processing. This, however, is challenging in large scale 3-D WSNs due to the irregular topology, such as holes in the path, of the network. The irregular topology may cause overestimated Euclidean distance between nodes as the communication path is bent and accordingly introduces severe errors in 3-D WSN localization. As an effort towards the issue, this paper develops a distributed algorithm to achieve accurate 3-D WSN localization. Our proposal is composed of two steps, segmentation and joint localization. In specific, the entire network is first divided into several subnetworks by applying the approximate convex partitioning. A spatial convex node recognition mechanism is developed to assist the network segmentation, which relies on the connectivity information only. After that, each subnetwork is accurately localized by using the multidimensional scaling-based algorithm. The proposed localization algorithm also applies a new 3-D coordinate transformation algorithm, which helps reduce the errors introduced by coordinate integration between subnetworks and improve the localization accuracy. Using extensive simulations, we show that our proposal can effectively segment a complex 3-D sensor network and significantly improve the localization rate in comparison with existing solutions. | |||||||||||
言語 | en | |||||||||||
書誌情報 |
en : IEEE Sensors Journal 巻 17, 号 24, p. 8412-8423, 発行日 2017-10-16 |
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出版者 | ||||||||||||
言語 | en | |||||||||||
出版者 | IEEE | |||||||||||
出版者版へのリンク | ||||||||||||
10.1109/JSEN.2017.2763155 | ||||||||||||
https://doi.org/10.1109/JSEN.2017.2763155 | ||||||||||||
DOI | ||||||||||||
関連タイプ | isVersionOf | |||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | 10.1109/JSEN.2017.2763155 | |||||||||||
日本十進分類法 | ||||||||||||
主題Scheme | NDC | |||||||||||
主題 | 007 | |||||||||||
ISSN | ||||||||||||
収録物識別子タイプ | PISSN | |||||||||||
収録物識別子 | 1530-437X | |||||||||||
権利 | ||||||||||||
言語 | en | |||||||||||
権利情報 | © 2017 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. | |||||||||||
著者版フラグ | ||||||||||||
出版タイプ | AM | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||
フォーマット | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | application/pdf |