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This presentation discusses CarTel, a distributed mobile sensor computing system that offers the potential to cover larger areas with fewer sensors. It supports heterogeneous sensor data and intermittent connections, while providing a simple programming interface for application developers. CarTel utilizes technology such as ICEDB, a delay-tolerant continuous query processor, CafNet, a carry-and-forward network stack, and a data visualization portal.
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Presented by Chih-Yu Lin 788.11J Presentation“CarTel: A Distributed Mobile Sensor Computing System” Bret Hull, Vladimir Bychkovsky, Yang Zhang, Kevin Chen, Michel Goraczko, Allen Miu, Eugene Shih, Hari Balakrishnan and Samuel Madden, “CarTel: A Distributed Mobile Sensor Computing System”, SenSys’06
The Main Idea • Mobile • Mobile sensor networks offer the potential to cover a much larger geographical area with a smaller number of sensors • Heterogeneous sensor data • CarTel should not constrain sensor data types • A CarTel node is a mobile embedded computer coupled to a set of sensors • Support intermittent connection
The Main Achievements • What did this work accomplish? • ICEDB (intermittently connected database) • A delay-tolerant continuous query processor • CafNet (carry-and-forward network) • a delay-tolerant network stack • Portal • Data visualization
The Challenges • Provide a simple programming interface • Application developers should not have to deal with distribution or mobility • Handle intermittent connectivity • The primary mode of network access is via opportunistic wireless • Handle large amounts of heterogeneous sensor data • should make it easy to integrate new kinds of sensors, new mobile nodes, and new data types into the system
Technology that makes CarTel possible A 586-class processor running at 266 MHz with 128 MB of RAM and 1GBytes of flash memory GPS miniPCI Wi-Fi Card OBD-interface