Data Gathering Approaches for Underwater Sensor Networks

This paper addresses how to exploit temporal and spatial data correlations to collect data energy-efficiently from sensor nodes. In our approach, models are maintained by nodes and cluster heads, and replica models are maintained by the base station. The base station uses the replica models to estimate the actual measurement data in usual time, and an actual measurement datum is sent to the base station only when the error of the model's corresponding estimation exceeds allowable error bound.

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