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From Sensors to Scientists: Applications of Sensor Networks Fall 2006 cs651 |
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| Course Info |
Location: MEC 216 Time: MW 10:00-11:15am Instructor: Kamin Whitehouse Office: 217 Olsson Hall Office Hours: Wednesday 1:30-3:00 (or by appointment) |
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| Resources |
Email List Anonymous Feedback |
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| Course Overview |
The dream that technology will be pervasive in our environments is already halfway here; rich sensors have arrived in our cars, homes, roads, farms, factories, and even in our shoes. Sensor Networks is a field that promises to provide the other half of this dream: the technology needed to turn many isolated sensors into a single, manageable computer system. In this course, we analyze the process of getting information all the way from sensors to scientists. We analyze several existing applications from top to bottom, including its hardware, network protocols, programming abstractions, and data interpretation, and observe how subtly different applications need vastly different system designs. Then, we explore individual systems components, including calibration, routing, time synchronization, etc. Finally, we consider several applications that cannot yet be built with existing technology as motivation for new research projects. This course is oriented around helping students learn how to make a compelling research contribution to the area of sensor networks. For this course, students will be expected to read articles from the literature and complete a significant project. |
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| Grading |
Participation: 25% Presentation: 25% Project: 50% Guidelines for project proposal presentations Grading Criteria for final project reports and presentations |
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| Prerequisites |
This course is suitable for graduate students with little prior experience in sensor networks. However, we will only briefly cover the basics of motes, sensors, nesC, and TinyOS, which must be learned from the online tutorials (www.tinyos.net). See CS451 for more rigorous coverage of these topics. |
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