| Publisher | Microsoft | ||
|---|---|---|---|
| Format | 212.6KB PDF | Date added | 24 May 2007 |
| Topics | Monitoring Systems, Wireless | ||
| Downloads | 26 | ||
Wireless sensor networks are being deployed to monitor a wide range of environments. Since energy efficiency is critical in these deployments, previous work proposed in-network aggregation and approximation techniques to reduce the energy consumed collecting data. In-network aggregation can be used to compute statistics such as max, min, and average accurately and energy-efficiently, but it does not work well for order statistics such as median. Current approximation techniques to compute order statistics cannot deliver both good accuracy and energy efficiency. This is unfortunate because order statistics are more resilient to faulty sensor readings than max, min, or average. This paper presents the design and implementation of POS, an in network service that computes accurate order statistics energy-efficiently.
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