| Publisher | Texas A&M University | ||
|---|---|---|---|
| Format | 74.3KB PDF | Date added | 05 May 2008 |
| Topics | Knowledge and Data Management, Storage Management | ||
| Downloads | 0 | ||
Data-centric storage is a very important concept for sensor networks that supports efficient in-network data query and processing. Previous approaches are mostly using a hashing function to store data with the same key value on the sensors that are closest the same geometric location. The paper proposes a new data-centric storage method based on sorting. Their method is robust for different network models and works for unlocalized homogeneous sensor networks, i.e., it requires no location information. The idea is to sort the data in the network based on their key values, so that queries can be easily answered. The sorting method balances the storage load very well. They present a sorting algorithm that is both decentralized and very efficient.
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