DocumentCode :
3500870
Title :
Localized edge detection in sensor fields
Author :
Chintalapudi, Krishna Kant ; Govindan, Ramesh
Author_Institution :
Univ. of Southern California, Los Angeles, CA, USA
fYear :
2003
fDate :
37752
Firstpage :
59
Lastpage :
70
Abstract :
A wireless sensor network that studies relatively widespread phenomena (such as a contaminant flow or a seismic disturbance) may be called upon to provide a description of the boundary of the phenomenon (either a contour or some bounding box). In such cases, it may be necessary for each node to locally determine whether it lies at (or near) the edge of the phenomenon. In this paper, we show that such localized edge detection techniques are non-trivial to design in an arbitrarily deployed sensor network. We define the notion of an edge and develop performance metrics for evaluating localized edge detection algorithms. We propose three different approaches for localized edge detection and present one example scheme for each. In all our approaches, each sensor gathers information from its local neighborhood and determines whether or not it is an edge sensor. We evaluate the performance! of each of the example schemes and compare them with respect to the developed metrics.
Keywords :
edge detection; pattern classification; sensor fusion; arbitrarily deployed network; local neighborhood; localized edge detection; performance metrics; sensor fields; wireless sensor network; Digital filters; Digital images; Energy efficiency; Filtering; Image edge detection; Image sensors; Intelligent networks; Pixel; Sensor phenomena and characterization; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Network Protocols and Applications, 2003. Proceedings of the First IEEE. 2003 IEEE International Workshop on
Print_ISBN :
0-7803-7879-2
Type :
conf
DOI :
10.1109/SNPA.2003.1203357
Filename :
1203357
Link To Document :
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