Dynamic Data Stream Compression Methods for Application-Level Semantics of Sensor Networks

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Provided by: International Journal for Development of Computer Science & Technology (IJDCST)
Topic: Big Data
Format: PDF
Advances in location-acquisition technologies like Global Positioning Systems (GPSs) and Wireless Sensor Networks (WSNs) etc. fostered many innovative applications like object tracking, environmental monitoring, and location-dependent services. These applications typically generate a large amount of location data, and thus, leading to transmission and storage challenges, especially in resource constrained environments like WSNs. Previously an implementation that can discover aggregated group movement patterns data and compress them rather than every data tuples originating from WSNs was developed.
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