Delay-Free Joint Source-Channel Coding for Gaussian Network of Multiple Sensors
The authors study the communication problem in a sensor network which consists of multiple sensor nodes that observe inter-correlated memoryless Gaussian sources. The observations are transmitted over orthogonal additive white Gaussian noise channels, and all source symbols are to be recovered at the receiver. They focus on communication schemes which utilize direct source to channel mappings that operate on a symbol-by-symbol basis to ensure zero coding delay. The distortion lower bound for the network with more than two sensors case is derived. Optimal linear schemes, both distributed and cooperative, are presented.