The main goal of wireless sensor networks is to collect information from the target environment through a large number of micro sensor nodes. However, the constrained resource on each senor node brings great challenges to the information processing procedure in sensor networks. An overview and some open issues of the intelligent information processing approaches in wireless sensor networks are given in this paper to meet these challenges, which include in-network data aggregation and data compression algorithms, distributed database storage and query strategies, and multi-sensor data fusion rules. The advantages and disadvantages of every approach are also discussed.
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- A Survey of Intelligent Information Processing in Wireless Sensor Network
- Springer Berlin Heidelberg
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