Early Forest Fire Detection with Sensor Networks: Sliding Window Skylines Approach

Authors:
Krešimir Pripužić;Hrvoje Belani;Marin Vuković
Affiliations:
Faculty of Electrical Engineering and Computing, Department of Telecommunications, University of Zagreb, Zagreb, Croatia HR-10000;Faculty of Electrical Engineering and Computing, Department of Telecommunications, University of Zagreb, Zagreb, Croatia HR-10000;Faculty of Electrical Engineering and Computing, Department of Telecommunications, University of Zagreb, Zagreb, Croatia HR-10000
Venue:
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
Year:
2008

Citing 0
Cited 1

On the development of a sensor network-based system for wildfire prevention

CDVE'11 Proceedings of the 8th international conference on Cooperative design, visualization, and engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wireless sensor networks are widely used in environmental applications, like forest fire detection. Although forest fires occur relatively rarely, their number is increasing in Europe in the last years, so their manifestation must be early detected in order to prevent higher damages. To minimize needless communication between the sensor nodes for this usage, new data suppression technique using sliding window skylines is described in this paper. We experimentally evaluate our algorithm for continuous sliding windows skylines computation, and show its usability in practice.