The main constraint of wireless sensor networks (WSN) in enabling wirelessimage communication is the high energy requirement, which may exceed even thefuture capabilities of battery technologies. In this paper we have shown thatthis bottleneck can be overcome by developing local in-network image processingalgorithm that offers optimal energy consumption. Our algorithm is verysuitable for intruder detection applications. Each node is responsible forprocessing the image captured by the video sensor, which consists of NxNblocks. If an intruder is detected in the monitoring region, the node willtransmit the image for further processing. Otherwise, the node takes no action.Results provided from our experiments show that our algorithm is better thanthe traditional moving object detection techniques by a factor of (N/2) interms of energy savings.
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