An adaptive DPCM method for efficient data compression in aerospace sensor systems

In this paper, we explore different techniques for lossless compression of sensor data on a wireless sensor network. In this work, we applied modify Differential Pulse Code Modulation (DPCM) scheme for our baseline lossless compression. These techniques were applied on sensor types with reasonably predictable data pattern (e.g., temperature sensor, pressure sensor, etc.) allowing about 50% data compression on the original samples. In addition, we propose a new adaptive data compression algorithm based on DPCM for higher compression of sensor data. Furthermore, this work proposes a new mathematical model based on Markov model to show where the proposed algorithm is beneficial over the conventional DPCM methods.