Localization of IoT devices for Energy Management System

• Item type: SIG Technical Reports(1)
• 公開日: 2018-05-17
• タイトル: Localization of IoT devices for Energy Management System
• タイトル / 言語: en
• タイトル: Localization of IoT devices for Energy Management System
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 位置・センシング
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者名: Nathavuth, Kitbutrawat; Shugo, Kajita; Hirozumi, Yamaguchi; Teruo, Higashino
• 著者名(英): Nathavuth, Kitbutrawat; Shugo, Kajita; Hirozumi, Yamaguchi; Teruo, Higashino
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: IoT-based energy management is an important technology to reduce energy consumption in the building by controlling HVAC and lighting through IoT by providing network functions to those equipment. In order to enable such IoT device management in a building, the location of IoT devices is fundamental information. However, the manual location identification effort for a number of IoT devices in a whole building consume labour-intensive and time-consuming. Bluetooth Low Energy (BLE) is one of most popular network modules for IoT devices because it can provide the cost-effective and easy-deployment network. Fortunately, the signal propagation of BLE can be used to generate the signal fingerprint to estimate their locations. In this paper, the IoT devices are equipped the BLE module individually and we can estimate the location of BLEs instead of the location of IoT devices directly. We propose a survey mechanism to collect the signal propagation and consider the change in signal strength of every BLE for localization of BLE modules. Our method requires the oorplan and physical location of IoT devices. We request one tester to carry the smartphone and walk around the building for collecting the signal strength of every BLEs. After that our method matches the BLEs to the physical locations. We conducted the experiment in the real world environment and our matching method acquired 80% accuracy.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: IoT-based energy management is an important technology to reduce energy consumption in the building by controlling HVAC and lighting through IoT by providing network functions to those equipment. In order to enable such IoT device management in a building, the location of IoT devices is fundamental information. However, the manual location identification effort for a number of IoT devices in a whole building consume labour-intensive and time-consuming. Bluetooth Low Energy (BLE) is one of most popular network modules for IoT devices because it can provide the cost-effective and easy-deployment network. Fortunately, the signal propagation of BLE can be used to generate the signal fingerprint to estimate their locations. In this paper, the IoT devices are equipped the BLE module individually and we can estimate the location of BLEs instead of the location of IoT devices directly. We propose a survey mechanism to collect the signal propagation and consider the change in signal strength of every BLE for localization of BLE modules. Our method requires the oorplan and physical location of IoT devices. We request one tester to carry the smartphone and walk around the building for collecting the signal strength of every BLEs. After that our method matches the BLEs to the physical locations. We conducted the experiment in the real world environment and our matching method acquired 80% accuracy.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11851388
• 書誌情報: 研究報告モバイルコンピューティングとパーベイシブシステム（MBL）; 巻 2018-MBL-87, 号 7, p. 1-8, 発行日 2018-05-17
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8817
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会