N-queens-based algorithm for moving object detection in distributed wireless sensor networks
Journal
Journal of computing and information technology
Date Issued
2008-12-30
Author(s)
Risteska Stojkoska, Biljana
Abstract
The main constraint of wireless sensor networks (WSN)
in enabling wireless image communication is the high
energy requirement, which may exceed even the future
capabilities of battery technologies. In this paper we
have shown that this bottleneck can be overcome by
developing local in-network image processing algorithm
that offers optimal energy consumption. Our algorithm
is very suitable for intruder detection applications. Each
node is responsible for processing the image captured
by the video sensor, which consists of NxN blocks. If
an intruder is detected in the monitoring region, the
node will transmit the image for further processing.
Otherwise, the node takes no action. Results provided
from our experiments show that our algorithm is better
than the traditional moving object detection techniques
by a factor of (N/2) in terms of energy savings.
in enabling wireless image communication is the high
energy requirement, which may exceed even the future
capabilities of battery technologies. In this paper we
have shown that this bottleneck can be overcome by
developing local in-network image processing algorithm
that offers optimal energy consumption. Our algorithm
is very suitable for intruder detection applications. Each
node is responsible for processing the image captured
by the video sensor, which consists of NxN blocks. If
an intruder is detected in the monitoring region, the
node will transmit the image for further processing.
Otherwise, the node takes no action. Results provided
from our experiments show that our algorithm is better
than the traditional moving object detection techniques
by a factor of (N/2) in terms of energy savings.
Subjects
File(s)![Thumbnail Image]()
Loading...
Name
OJS_file.pdf
Size
977.26 KB
Format
Adobe PDF
Checksum
(MD5):02073f0b7272fb1a50183d00ead85566