Architectural Models for Visual Sensor Networks
نویسنده
چکیده
Visual sensor networks (VSNs) are networks composed of very large numbers of visual sensors (smart cameras). Different from today’s simpler sensor networks which tend to be aggregators or monitors of low-bandwidth data, VSNs are able to capture still images, short bursts of video frames and continuous video streams, thus face new challenges due to their high data rates. The bandwidth required for all the visual sensors to transmit their video data to a central location for processing or storage would be enormous. As a result, new infrastructure needs to be introduced. One solution to this problem is to push high-rate data processing (such as image processing) toward the sensors, so that only produced lower-rate data (such as object features) needs to be transmitted. This project aims to solve these problems. To be more specific, the project involves the design and implementation of • Novel real-time image processing algorithms that take advantage of specialized hardware. Those algorithms will be able to work in a distributed fashion so that multiple smart cameras can collaborate. In fact, it is very important to maximize the data processing and decimation at the sensor level and to minimize the amount of data transmitted. • A data-flow oriented software platform to simplify the construction of VSNs. Ideally, a collection of image processing primitives will be developed, which allows programmers to specify behaviors of the data flow using block diagrams while isolating them from details about configuration parameters, like location, bandwidth, connectivity and so on. • Scalable low-power routing protocols that function among disparate radio technologies. This project will also be focusing on issues arising from dynamic wireless VSNs, for example, dynamic calibration. For dynamic wireless VSNs, sensors’ locations are not known in advance, nor can we easily calibrate them. It would be very valuable if one sensor can figure out the relative location with respect to other sensors by asking data from them. The report is organized as follows. Section 2 introduces previous attempts. Section 3 describes major components implemented to build current systems which will be introduced in Section 4. Section 5 discusses the future work.
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تاریخ انتشار 2008