Presentation 2023-03-17
Analyzing Impact of People's Existence on RSSI in Large Indoor Environment
Eri Hosonuma, Taku Yamazaki, Takumi Miyoshi, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Various estimation methods of crowd density have been studied for safe and comfortable cities. In particular, for installation cost and privacy of people, some methods passively estimate a number of people in a specific space using received signal strength indicator (RSSI) of messages exchanged by wireless sensor nodes deployed in the space. However, they are designed for use in open spaces such as a room or outdoor event space. Therefore, they require the installation of many nodes in these spaces to estimate a congestion area in large indoor environments composed of multiple rooms such as a floor of building. This paper analyzes the impact of people's location in a large indoor environment on RSSI of LPWA (low power wide area) nodes which can perform wide range communication to realize a congestion area estimation by few nodes.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Congestion estimation / LPWA / RSSI / Indoor environment
Paper # ICM2022-57
Date of Issue 2023-03-09 (ICM)

Conference Information
Committee ICM
Conference Date 2023/3/16(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Prefectural Museum and Art Museum
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yuji Nomura(Fujitsu)
Vice Chair Yu Miyoshi(NTT) / Eiji Takahashi(NEC)
Secretary Yu Miyoshi(NTT) / Eiji Takahashi(Fujitsu)
Assistant Ryo Yamamoto(Univ. of Electro-Comm)

Paper Information
Registration To Technical Committee on Information and Communication Management
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analyzing Impact of People's Existence on RSSI in Large Indoor Environment
Sub Title (in English)
Keyword(1) Congestion estimation
Keyword(2) LPWA
Keyword(3) RSSI
Keyword(4) Indoor environment
1st Author's Name Eri Hosonuma
1st Author's Affiliation The University of Tokyo(Univ. of Tokyo)
2nd Author's Name Taku Yamazaki
2nd Author's Affiliation Shibaura Institute of Technology(Shibaura Inst. of Tech.)
3rd Author's Name Takumi Miyoshi
3rd Author's Affiliation Shibaura Institute of Technology(Shibaura Inst. of Tech.)
4th Author's Name Akihito Taya
4th Author's Affiliation The University of Tokyo(Univ. of Tokyo)
5th Author's Name Yuuki Nishiyama
5th Author's Affiliation The University of Tokyo(Univ. of Tokyo)
6th Author's Name Kaoru Sezaki
6th Author's Affiliation The University of Tokyo(Univ. of Tokyo)
Date 2023-03-17
Paper # ICM2022-57
Volume (vol) vol.122
Number (no) ICM-442
Page pp.pp.84-88(ICM),
#Pages 5
Date of Issue 2023-03-09 (ICM)