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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. [ABSTRACT FROM AUTHOR]

The Intelligent Space is an area (room, public space, etc.) that has networked distributed sensors, which can be used for observing and gathering information from the space. The main objective for the introduction of Intelligent Space is to provide services to humans inside the space. These services can be either informational, such as the ones provided by displays, or physical. In order to be able to provide physical services mobile robots are introduced in the Intelligent Space as actuators. The network of distributed sensors in the space can therefore be utilized to provide data from the space needed for the control of the robot. Here we present our implementation of an Intelligent Space system that uses spatially distributed laser range finders for tracking the mobile robot and humans inside the space and building the map of the space. Based on these measurements, the control of mobile robot acting as physical agent of the Intelligent Space is developed. [ABSTRACT FROM AUTHOR]