We developed a new data compression technique for large-scale wireless sensor networks, which are used in field monitoring, disaster prediction, heating, ventilation and air conditioning (HVAC) control systems and so on. The technique achieves a high compression ratio by using information correlating each sensor data sequence. It can help reduce the power consumption of limited capacity batteries in small wireless sensor devices. We have improved distributed source coding (DSC) to apply practical data sequences to it. As a result, we can show for the first time anywhere in the world that DSC with a low density parity check (LDPC) code can be applied to practical sensor data sequences.
Poster
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