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センサネットワークにおける回帰分析を用いた位置測定手法に関する研究
http://hdl.handle.net/10458/1633
http://hdl.handle.net/10458/16332a6bce7d-99ed-482d-9518-c8f1347217c2
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
KJ00005016046.pdf (715.9 kB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2008-11-11 | |||||
| タイトル | ||||||
| タイトル | センサネットワークにおける回帰分析を用いた位置測定手法に関する研究 | |||||
| 言語 | ja | |||||
| タイトル | ||||||
| タイトル | A study on an estimation method of geographical location in sensor networks using the regression analysis | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Sensor Networks, Geographical Localization Information, Hop-Vector, Regression Analysis | |||||
| 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 | departmental bulletin paper | |||||
| その他（別言語等）のタイトル | ||||||
| その他のタイトル | センサネットワーク ニ オケル カイキ ブンセキ オ モチイタ イチ ソクテイ シュホウ ニ カンスル ケンキュウ | |||||
| 言語 | ja-Kana | |||||
| 著者 |
甲斐, 健太郎
× 甲斐, 健太郎× 河内, 康佑× 岡崎, 直宣× Kai, Kentaro× Kawachi, Kousuke |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | For sensor networks consisting of battery-powered sensor nodes, power saving is significant challenge. It is effective to reduce the amount of communication for sensor networks where power resource is scarce, because sensor nodes consume energy most in communication. We proposed a routing protocol HVGF (Hop-Vector-based Greedy Forwarding) which reduces the amount of communication. In this method, we introduced n base-nodes and assigned n-dimensional “hop-vector"consisting of number of hops from each base-node. In HVGF, we can forward packets without geographical information of each node. However, in some cases, the information of geographical location of sensor nodes is very important. In this paper, we propose an estimation method of geographical location of each sensor node using the norm of hop-vector. In the proposed method, we introduce some sensor nodes called “landmark nodes" which are aware of their own geographical location, and estimate the geographical distance between each node and the landmark nodes using the regression analysis of many samples. Using the estimated distance between each node and the landmark nodes, we then estimate the geographical location of each node by “normalized count-up"mechanism. The simulation results show that the proposed method works well in the various density of network compared to existing method. | |||||
| 言語 | en | |||||
| 書誌情報 |
ja : 宮崎大学工学部紀要 en : Memoirs of Faculty of Engineering, University of Miyazaki 巻 37, p. 245-251, 発行日 2008-08-30 |
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| 出版者 | ||||||
| 出版者 | 宮崎大学工学部 | |||||
| 言語 | ja | |||||
| 出版者 | ||||||
| 出版者 | Faculty of Engineering, University of Miyazaki | |||||
| 言語 | en | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 05404924 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA00732558 | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
