Adaptive Linear Filtering Compression on Realtime Sensor Networks
The authors present a lightweight lossless compression algorithm for realtime sensor networks. Their proposed Adaptive Linear Filtering Compression (ALFC) algorithm performs predictive compression using adaptive linear filtering to predict sample values followed by entropy coding of prediction residuals, encoding a variable number of samples into fixed-length packets. Adaptive prediction eliminates the need to determine prediction coefficients a priori and, more importantly, allows compression to dynamically adjust to a changing source. The algorithm requires only integer arithmetic operations and thus is compatible with sensor platforms that do not support floating-point operations.