Energy-efficient event detection in 3D wireless sensor networks

Susumu Toriumi*, Yuichi Sei, Shinichi Honiden

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


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.

Original languageEnglish
Title of host publication2008 1st IFIP Wireless Days, WD 2008
Publication statusPublished - 2008
Externally publishedYes
Event2008 1st IFIP Wireless Days, WD 2008 - Dubai, United Arab Emirates
Duration: 2008 Nov 242008 Nov 27

Publication series

Name2008 1st IFIP Wireless Days, WD 2008


Other2008 1st IFIP Wireless Days, WD 2008
Country/TerritoryUnited Arab Emirates

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Communication


Dive into the research topics of 'Energy-efficient event detection in 3D wireless sensor networks'. Together they form a unique fingerprint.

Cite this