From Dumb Wireless Sensors to Smart Networks using Network Coding

Computer Science – Information Theory

Scientific paper

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To be presented at the Inaugural Workshop of the Center for Information Theory and Its Applications, University of California

Scientific paper

The vision of wireless sensor networks is one of a smart collection of tiny, dumb devices. These motes may be individually cheap, unintelligent, imprecise, and unreliable. Yet they are able to derive strength from numbers, rendering the whole to be strong, reliable and robust. Our approach is to adopt a distributed and randomized mindset and rely on in network processing and network coding. Our general abstraction is that nodes should act only locally and independently, and the desired global behavior should arise as a collective property of the network. We summarize our work and present how these ideas can be applied for communication and storage in sensor networks.

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