抄録
Event detection techniques are crucial for environmental monitoring and object tracking applications in wireless sensor networks. Event detection requires sensor readings to be collected from multiple sensors, and as sensors have limited resources, their readings should be retrieved efficiently. Existing aggregation-based event detection methods, however, require all sensors in the network to transmit their readings, which results in high energy consumption for the network. We propose an energyefficient event detection technique for estimating the state of the whole environment based on only some of the sensor readings and use a contour map to represent the outline of the environment. To detect events in 3D environments, we modify an existing 2D contour mapping algorithm, extending it for 3D environments. By simulation, we show how our event detection technique is more energy-efficient than existing solutions that take readings from all sensors. We evaluated our method from the point of energy efficiency and found that it improves the energy efficiency of event detection in 3D wireless sensor networks.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | 2008 1st IFIP Wireless Days, WD 2008 |
| DOI | |
| 出版物ステータス | Published - 2008 12 1 |
| 外部発表 | Yes |
| イベント | 2008 1st IFIP Wireless Days, WD 2008 - Dubai, United Arab Emirates 継続期間: 2008 11 24 → 2008 11 27 |
Other
| Other | 2008 1st IFIP Wireless Days, WD 2008 |
|---|---|
| 国 | United Arab Emirates |
| 市 | Dubai |
| 期間 | 08/11/24 → 08/11/27 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Communication
これを引用
Energy-efficient event detection in 3D wireless sensor networks. / Toriumi, Susumu; Sei, Yuichi; Honiden, Shinichi.
2008 1st IFIP Wireless Days, WD 2008. 2008. 4812898.研究成果: Conference contribution
}
TY - GEN
T1 - Energy-efficient event detection in 3D wireless sensor networks
AU - Toriumi, Susumu
AU - Sei, Yuichi
AU - Honiden, Shinichi
PY - 2008/12/1
Y1 - 2008/12/1
N2 - Event detection techniques are crucial for environmental monitoring and object tracking applications in wireless sensor networks. Event detection requires sensor readings to be collected from multiple sensors, and as sensors have limited resources, their readings should be retrieved efficiently. Existing aggregation-based event detection methods, however, require all sensors in the network to transmit their readings, which results in high energy consumption for the network. We propose an energyefficient event detection technique for estimating the state of the whole environment based on only some of the sensor readings and use a contour map to represent the outline of the environment. To detect events in 3D environments, we modify an existing 2D contour mapping algorithm, extending it for 3D environments. By simulation, we show how our event detection technique is more energy-efficient than existing solutions that take readings from all sensors. We evaluated our method from the point of energy efficiency and found that it improves the energy efficiency of event detection in 3D wireless sensor networks.
AB - Event detection techniques are crucial for environmental monitoring and object tracking applications in wireless sensor networks. Event detection requires sensor readings to be collected from multiple sensors, and as sensors have limited resources, their readings should be retrieved efficiently. Existing aggregation-based event detection methods, however, require all sensors in the network to transmit their readings, which results in high energy consumption for the network. We propose an energyefficient event detection technique for estimating the state of the whole environment based on only some of the sensor readings and use a contour map to represent the outline of the environment. To detect events in 3D environments, we modify an existing 2D contour mapping algorithm, extending it for 3D environments. By simulation, we show how our event detection technique is more energy-efficient than existing solutions that take readings from all sensors. We evaluated our method from the point of energy efficiency and found that it improves the energy efficiency of event detection in 3D wireless sensor networks.
UR - http://www.scopus.com/inward/record.url?scp=67649729191&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67649729191&partnerID=8YFLogxK
U2 - 10.1109/WD.2008.4812898
DO - 10.1109/WD.2008.4812898
M3 - Conference contribution
AN - SCOPUS:67649729191
SN - 9781424428298
BT - 2008 1st IFIP Wireless Days, WD 2008
ER -