A Ubiquitous Data Logger that Selects an Efficient Data Compression Method

Recently, ubiquitous computing has been garnering a great deal of attention. In ubiquitous computing environments, sensor nodes connected to a network are used for collecting sensor data. However, considering the cost needed to set up the network, it may be more convenient to use data loggers that directly send data to users than to use a sensor network. In this paper, we propose a ubiquitous data logger that takes sensor characteristics into consideration in managing data. The logger reduces data volume by selecting an appropriate compression algorithm that takes sensor characteristics into consideration, because the sensor characteristics vary depending on the sensor data.