Gradient Boundary Detection for Time Series Snapshot Construction in Sensor Networks

Volume: 18, Issue: 10, Pages: 1462 - 1475
Published: Oct 1, 2007
Abstract
In many applications of sensor networks, the sink needs to keep track of the history of sensed data of a monitored region for scientific analysis or supporting historical queries. We call these historical data a time series of value distributions or snapshots. Obviously, to build the time series snapshots by requiring all of the sensors to transmit their data to the sink periodically is not energy efficient. In this paper, we introduce the idea...
Paper Details
Title
Gradient Boundary Detection for Time Series Snapshot Construction in Sensor Networks
Published Date
Oct 1, 2007
Volume
18
Issue
10
Pages
1462 - 1475
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