Adaptive Data Collection in Environmental Sensor Networks
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Transcript of Adaptive Data Collection in Environmental Sensor Networks
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Cub Hill Network
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Question
• Downloading data from everyone is expensive– Radio usage consumes power
• Most of the time nothing interesting is happening– Data is strongly correlated
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Proposal
• Download data from a representative set that captures the variation in data– Minimizes communication costs– Extends the lifetime of the network
• Reconstruct data using a model and the representative sensors
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Challenges• How do you pick informative locations– How many do we need?– How stable is the working set?
• How do you reconstruct data for the “unobserved” locations
• How do we estimate/measure the reconstruction error
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Example
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Information Theoretic Approach
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How many locations ?
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Questions?
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Data
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Reconstruction using PCA basis
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Working set frequency
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Number of location
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Smarter way?
• Information gain criteria• A represents working set of locations• V\A represents locations NOT selected
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Compare with Random
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Scree plot (median)
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Scree Plot (95th percentile)
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