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ABSTRACT
As new fabrication and integration technologies reduce the cost and size of micro-sensors and wireless interfaces, it becomes feasible to deploy densely distributed wireless networks of sensors and actuators. These systems promise to revolutionize biological, earth, and environmental monitoring applications, providing data at granularities unrealizable by other means. In addition to the challenges of miniaturization, new system architectures and new network algorithms must be developed to transform the vast quantity of raw sensor data into a manageable stream of high-level data. To address this, we propose a tiered system architecture in which data collected at numerous, inexpensive sensor nodes is filtered by local processing on its way through to larger, more capable and more expensive nodes.We briefly describe Habitat monitoring as our motivating application and introduce initial system building blocks designed to support this application. The remainder of the paper presents details of our experimental platform.
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CITED BY 9
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Anmol Sheth , Chandramohan A. Thekkath , Prakshep Mehta , Kalyan Tejaswi , Chandresh Parekh , Trilok N. Singh , Uday B. Desai, Senslide: a distributed landslide prediction system, ACM SIGOPS Operating Systems Review, v.41 n.2, p.75-87, April 2007
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