Robust Data Compression for Irregular Wireless Sensor Networks Using Logical Mapping

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Provided by: Hindawi Publishing
Topic: Big Data
Format: PDF
The authors propose RIDA, novel robust information-driven data compression architecture for distributed wireless sensor networks. The key idea is to determine the data correlation among a group of sensors based on the data values to significantly improve compression performance rather than relying solely on spatial data correlation. A logical mapping approach assigns virtual indices to nodes based on the data content, which enables simple implementation of data transformation on resource-constrained nodes without any other information.
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