Science & Engineering Research Support soCiety (SERSC)
Sensor data exhibit strong correlation in both space and time. Many algorithms have been proposed to utilize these characteristics. However, each sensor just utilizes neighboring information, because its communication range is restrained. Information that includes the distribution and characteristics of whole sensor data provides other opportunities to enhance the compression technique. In this paper, the authors propose an orthogonal approach for compressing sensor readings based on a novel feedback technique.