  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.
