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
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