The impact of the quantization bit rate on message restoration in wireless sensor networks

The probabilities of using binary codes during signal quantization with the exponential density of amplitude distribution at the monitoring system output sensors in wireless sensor networks are calculated. A model for estimating the fidelity of symbol-by-symbol detection of digitized messages of shortened duration is developed. The dependence of channel error dispersion on the signal quantization bit rate is investigated. The optimal code length values are determined for communication channels undergoing different kinds of interference. The codes provide minimum summary values for channel and quantization errors.