TY - GEN
T1 - Energy-efficient event detection in 3D wireless sensor networks
AU - Toriumi, Susumu
AU - Sei, Yuichi
AU - Honiden, Shinichi
PY - 2008
Y1 - 2008
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
T3 - 2008 1st IFIP Wireless Days, WD 2008
BT - 2008 1st IFIP Wireless Days, WD 2008
T2 - 2008 1st IFIP Wireless Days, WD 2008
Y2 - 24 November 2008 through 27 November 2008
ER -