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| 講演名 | 2017-10-24 14:00 ［ポスター講演］VANET based Effective Data Transmission Control for Spatio-Temporal Data Retention System ○Hiroki Teshiba・Daiki Nobayashi・Kazuya Tsukamoto・Takeshi Ikenaga（Kyutech）  SR2017-87 SRW2017-37 |
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| 抄録 | （和） | With the progress and widespread dissemination of Internet of Things (IoT), various application data will be generated at anywhere and anytime. In general use-case of IoT application, these data are collected in remote servers through the Internet, and users try to obtain the data via the Internet. On the other hand, some of these application data strongly depend on specific location and/or time. In this paper, we further refer to these data as spatio-temporal data. Some examples of spatio-temporal data are traffic information, weather information and advertisement like a limited-time sale. If spatio-temporal data are spread and retained within a certain area, a user within that area can receive data seamlessly and effectively. That is “local production and consumption” of spatio-temporal data are effective and feasible for location-dependent applications. Therefore, in this paper, we propose it a spatio-temporal data retention system using vehicles that retains spatio-temporal data in a certain area (target area) without any support from the infrastructure (Internet). The characteristic of a vehicle is remarkably high mobility. And all of the recent vehicles can be equipped with an onboard wireless interface. Hence, we focus on vehicular ad-hoc networks (VANETs) for constructing our spatio-temporal data retention system. However, when many vehicles simultaneously use the same communication channel, data transmissions are suffered from severe and frequent data collisions. The goal of our system is to achieve the efficient retention of spatio-temporal data in the whole target area while reducing the redundant data transmissions. In our proposed method, nodes (vehicles), which are in and around the target area, cooperatively transmit data for spreading and retaining data within the whole target area. Moreover, our proposed method employs the adaptive data transmission control based on the neighboring nodes density and the number of received data from those nodes, thereby achieving the effective data retention with the minimum number of data transmissions. From simulation results, we can confirm that our proposed method can retain the data within the whole target area while reducing the redundant data transmissions through the cooperation with not only nodes within the target area but also nodes around that area. |
| （英） | With the progress and widespread dissemination of Internet of Things (IoT), various application data will be generated at anywhere and anytime. In general use-case of IoT application, these data are collected in remote servers through the Internet, and users try to obtain the data via the Internet. On the other hand, some of these application data strongly depend on specific location and/or time. In this paper, we further refer to these data as spatio-temporal data. Some examples of spatio-temporal data are traffic information, weather information and advertisement like a limited-time sale. If spatio-temporal data are spread and retained within a certain area, a user within that area can receive data seamlessly and effectively. That is “local production and consumption” of spatio-temporal data are effective and feasible for location-dependent applications. Therefore, in this paper, we propose it a spatio-temporal data retention system using vehicles that retains spatio-temporal data in a certain area (target area) without any support from the infrastructure (Internet). The characteristic of a vehicle is remarkably high mobility. And all of the recent vehicles can be equipped with an onboard wireless interface. Hence, we focus on vehicular ad-hoc networks (VANETs) for constructing our spatio-temporal data retention system. However, when many vehicles simultaneously use the same communication channel, data transmissions are suffered from severe and frequent data collisions. The goal of our system is to achieve the efficient retention of spatio-temporal data in the whole target area while reducing the redundant data transmissions. In our proposed method, nodes (vehicles), which are in and around the target area, cooperatively transmit data for spreading and retaining data within the whole target area. Moreover, our proposed method employs the adaptive data transmission control based on the neighboring nodes density and the number of received data from those nodes, thereby achieving the effective data retention with the minimum number of data transmissions. From simulation results, we can confirm that our proposed method can retain the data within the whole target area while reducing the redundant data transmissions through the cooperation with not only nodes within the target area but also nodes around that area. | |
| キーワード | （和） | Data Retention / Adaptive Data Transmission Control / Vehicle Ad-hoc Network (VANET) / / / / / |
| （英） | Data Retention / Adaptive Data Transmission Control / Vehicle Ad-hoc Network (VANET) / / / / / | |
| 文献情報 | 信学技報, vol. 117, no. 257, SR2017-87, pp. 59-60, 2017年10月. | |
| 資料番号 | SR2017-87 | |
| 発行日 | 2017-10-16 (SR, SRW) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| 著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します．(許諾番号：10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| PDFダウンロード | SR2017-87 SRW2017-37 |
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| 研究会情報 | |
| 研究会 | SR SRW |
| 開催期間 | 2017-10-23 - 2017-10-24 |
| 開催地（和） | Grand Hotel Palatino, Rome, Italy |
| 開催地（英） | Grand Hotel Palatino, Rome, Italy |
| テーマ（和） | SmartCom2017 |
| テーマ（英） | SmartCom2017 |
| 講演論文情報の詳細 | |
| 申込み研究会 | SR |
| 会議コード | 2017-10-SR-SRW |
| 本文の言語 | 英語 |
| タイトル（和） | |
| サブタイトル（和） | |
| タイトル（英） | VANET based Effective Data Transmission Control for Spatio-Temporal Data Retention System |
| サブタイトル（英） | |
| キーワード(1)（和/英） | Data Retention / Data Retention |
| キーワード(2)（和/英） | Adaptive Data Transmission Control / Adaptive Data Transmission Control |
| キーワード(3)（和/英） | Vehicle Ad-hoc Network (VANET) / Vehicle Ad-hoc Network (VANET) |
| キーワード(4)（和/英） | / |
| キーワード(5)（和/英） | / |
| キーワード(6)（和/英） | / |
| キーワード(7)（和/英） | / |
| キーワード(8)（和/英） | / |
| 第1著者 氏名（和/英/ヨミ） | 手柴 弘樹 / Hiroki Teshiba / |
| 第1著者 所属（和/英） | 九州工業大学 (略称： 九工大) Kyushu Institute of Technology (略称： Kyutech) |
| 第2著者 氏名（和/英/ヨミ） | 野林 大起 / Daiki Nobayashi / |
| 第2著者 所属（和/英） | 九州工業大学 (略称： 九工大) Kyushu Institute of Technology (略称： Kyutech) |
| 第3著者 氏名（和/英/ヨミ） | 塚本 和也 / Kazuya Tsukamoto / |
| 第3著者 所属（和/英） | 九州工業大学 (略称： 九工大) Kyushu Institute of Technology (略称： Kyutech) |
| 第4著者 氏名（和/英/ヨミ） | 池永 全志 / Takeshi Ikenaga / |
| 第4著者 所属（和/英） | 九州工業大学 (略称： 九工大) Kyushu Institute of Technology (略称： Kyutech) |
| 講演者 | 第1著者 |
| 発表日時 | 2017-10-24 14:00:00 |
| 発表時間 | 120分 |
| 申込先研究会 | SR |
| 資料番号 | SR2017-87, SRW2017-37 |
| 巻番号（vol） | vol.117 |
| 号番号（no） | no.257(SR), no.258(SRW) |
| ページ範囲 | pp.59-60(SR), pp.53-54(SRW) |
| ページ数 | 2 |
| 発行日 | 2017-10-16 (SR, SRW) |
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