We are investigating environmental monitoring technologies for various fields with wireless sensor networks. We developed essential technologies for field monitoring, e.g., a data compression method by exploiting temporal spatial correlation of environmental sensor data and a virtual machine that dynamically changes sensor nodes behaviors. We can achieve effective sensing satisfying individual requirements of each field with these technologies. We demonstrate habitat monitoring of endangered fish with wireless sensor networks in a joint experiment with the Faculty of Agriculture, Kinki University. Our developed technologies enable measurement, accumulation and analysis of detailed and long-term environmental sensor data.
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