Presentation 2010-12-17
Functionality extensions of crowd density estimation by wireless sensors
Takamasa SUZUKI, Masayuki NAKATSUKA, Jiro KATTO,
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Abstract(in English) Today, for market's investigations and automatic monitoring systems, crowd density estimation becomes an important research topic. There are existing methods like the camera based crowd density estimation or the RFID based counting systems. However, these methods need deployment cost and enough spaces to set the sensors. To solve these problems, there is a estimation system using RSSI (Received Signal Strength Indicator) and LQI (Link Quality Indicator) in wireless sensor networks. RSSI is a signal strength obtained by monitoring the packets that are communicated between nodes. We assume that, as the number of people increase, RSSI value is violated and decreases. However, this method applies only to networks that one pair nodes communicate with each other. It's not practicable for many networks. In this paper, we therefore extend a existing method to multihop networks where two or more nodes access to a base station and cover wider area. Finally, we evaluate validity of our proposal and develop an application with wireless sensors.
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Keyword(in English) Crowd Density / Wireless Sensor Networks / RSSI / LQI
Paper # NS2010-133
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Committee NS
Conference Date 2010/12/9(1days)
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Registration To Network Systems(NS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Functionality extensions of crowd density estimation by wireless sensors
Sub Title (in English)
Keyword(1) Crowd Density
Keyword(2) Wireless Sensor Networks
Keyword(3) RSSI
Keyword(4) LQI
1st Author's Name Takamasa SUZUKI
1st Author's Affiliation Department of Computer Science, Waseda University()
2nd Author's Name Masayuki NAKATSUKA
2nd Author's Affiliation Department of Computer Science, Waseda University
3rd Author's Name Jiro KATTO
3rd Author's Affiliation Department of Computer Science, Waseda University
Date 2010-12-17
Paper # NS2010-133
Volume (vol) vol.110
Number (no) 339
Page pp.pp.-
#Pages 6
Date of Issue