Embedded Collaborative Computing Area (ECCA)
Embedded Collaborative Computing Area (ECCA) |
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Our research spans a wide range of topics, from networked embedded sensing and control systems,
to applications including vehicle tracking, environmental monitoring and machine diagnosis.
With the rapid advances in MEMS micro sensors and actuators, wireless networking, and embedded processing, networked sensor and actuator systems are becoming increasingly available for commercial and military applications such as environmental monitoring (e.g. traffic, habitat, security), industrial sensing and diagnostics (e.g. factory, automotives, appliances), infrastructure integrity (e.g. power and telecom grid), battlefields (e.g. target tracking). We are addressing the fundamental problems of designing, programming, and deploying large-scale distributed sensing and diagnostic systems. For example, the problem of information processing, storage, and routing in energy and bandwidth constrained wireless sensor networks is one of our foci in the Collaborative Sensing Project. In our Distributed Attention work, we study how sensor networks can handle extremely complex scenarios by focusing attention on interesting regions of the sensed region. In other work, such as StateCentric Programming, we study programming methodologies allowing users to write programs focused on phenomena in the world, abstracting away event handling, networking and resource awareness while still maintaining scalability and efficiency. Our effort is part of PARC's thrust in Smart Matter, which is
creating the ability to embed large numbers of sensors, actuators, and
computation in the world around us.
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The Distributed Attention Testbed
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