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GISCIENCE
2010
Springer

Efficient Data Collection and Event Boundary Detection in Wireless Sensor Networks Using Tiny Models

13 years 4 months ago
Efficient Data Collection and Event Boundary Detection in Wireless Sensor Networks Using Tiny Models
Using wireless geosensor networks (WGSN), sensor nodes often monitor a phenomenon that is both continuous in time and space. However, sensor nodes take discrete samples, and an analytical framework inside or outside the WSN is used to analyze the phenomenon.. In both cases, expensive communication is used to stream a large number of data samples to other nodes and to the base station. In this work, we explore a novel alternative that utilizes predictive process knowledge of the observed phenomena to minimize upstream communication. Often, observed phenomena adhere to a process with predictable behavior over time.We present a strategy for developing and running so-called `tiny models' on individual sensor nodes that capture the predictable behavior of the phenomenon; nodes now only communicate when unexpected events are observed. Using multiple simulations, we demonstrate that a significant percentage of messages can be reduced during data collection.
Kraig King, Silvia Nittel
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2010
Where GISCIENCE
Authors Kraig King, Silvia Nittel
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