2024-03-28T23:29:43Zhttps://ipsj.ixsq.nii.ac.jp/ej/?action=repository_oaipmhoai:ipsj.ixsq.nii.ac.jp:001830892023-04-27T10:00:04Z01164:08228:09066:09231
Analysis of WiFi Router's Electric Power Consumption towards Determining Presence in an Office EnvironmentAnalysis of WiFi Router's Electric Power Consumption towards Determining Presence in an Office Environmenteng測位・センシング技術http://id.nii.ac.jp/1001/00183001/Technical Reporthttps://ipsj.ixsq.nii.ac.jp/ej/?action=repository_action_common_download&item_id=183089&item_no=1&attribute_id=1&file_no=1Copyright (c) 2017 by the Information Processing Society of JapanThe University of TokyoThe University of TokyoThe University of TokyoTin, PetrovicKazuya, EchigoHiroyuki, MorikawaElectrical waste from using lights, AC and other plugged in devices while no one is in a room is noted as the biggest potential way to reduce electric consumption without affecting the end user. To achieve this, simple and cheap way to detect presence in a room is desirable. To this end we look into new ways to count the number of people in a space by looking at the power consumption of a WiFi router. We analyse if a router's power consumption can be correlated to the number of people in a room by setting two assumptions. First that an increased number of devices will results in a higher level of electrical consumption in a WiFi router. Second, that the aggregated network traffic from users is a stable and a good feature to use in prediction. We care out experiments in real world scenarios and showcase that it is possible to determine whether or not a room is occupied by looking at a WiFi's power consumption.Electrical waste from using lights, AC and other plugged in devices while no one is in a room is noted as the biggest potential way to reduce electric consumption without affecting the end user. To achieve this, simple and cheap way to detect presence in a room is desirable. To this end we look into new ways to count the number of people in a space by looking at the power consumption of a WiFi router. We analyse if a router's power consumption can be correlated to the number of people in a room by setting two assumptions. First that an increased number of devices will results in a higher level of electrical consumption in a WiFi router. Second, that the aggregated network traffic from users is a stable and a good feature to use in prediction. We care out experiments in real world scenarios and showcase that it is possible to determine whether or not a room is occupied by looking at a WiFi's power consumption.AA1271737X研究報告高齢社会デザイン(ASD)2017-ASD-91162017-08-172188-86982017-08-16