2026-05-12T13:02:53Z https://ipsj.ixsq.nii.ac.jp/oai

oai:ipsj.ixsq.nii.ac.jp:00189444 2025-01-20T01:35:52Z 1164:3865:9374:9458

Localization of IoT devices for Energy Management System Localization of IoT devices for Energy Management System Nathavuth, Kitbutrawat Shugo, Kajita Hirozumi, Yamaguchi Teruo, Higashino Nathavuth, Kitbutrawat Shugo, Kajita Hirozumi, Yamaguchi Teruo, Higashino 位置・センシング 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. 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. technical report 情報処理学会 2018-05-17 application/pdf 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） 7 2018-MBL-87 1 8 2188-8817 AA11851388 https://ipsj.ixsq.nii.ac.jp/record/189444/files/IPSJ-MBL18087007.pdf eng