Data-Driven Processing in Sensor Networks

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Data-Driven Processing in Sensor Networks
Wireless sensor networks are poised to enable continuous data collection on unprecedented scales, in terms of area location and size, and frequency. This is a great boon to fields such as ecological modeling. We are collaborating with researchers to build sophisticated temporal and spatial models of forest growth, utilizing a variety of measurements. There exists a crucial challenge in supporting this activity: network nodes have limited battery life, and radio communication is the dominant energy consumer. The straightforward solution of instructing all nodes to report their measurements as they are taken to a base station will quickly consume the network’s energy. On the other hand, the solution of building models for node behavior and substituting these in place of the actual measurements is in conflict with the end goal of constructing models. To address this dilemma, we propose data-driven processing, the goal of which is to provide continuous data without continuous reportin...
Adam Silberstein, Gregory Filpus, Kamesh Munagala,
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where CIDR
Authors Adam Silberstein, Gregory Filpus, Kamesh Munagala, Jun Yang 0001
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