LDPC Coded Compressive Sensing for Joint Source-Channel Coding in Wireless Sensor Networks

The novel concept of joint Compressive Sensing (CS) and Low Density Parity Check (LDPC) coding is conceived for Joint Source-Channel Coding (JSCC) in Wireless Sensor Networks (WSNs) supporting a massive number signals. More explicitly, we demonstrate this specific scheme, which supports signals simultaneously, using small Internet Things Nodes (IoTNs) based on the CS. compressed are LDPC coded order to protect them from poor transmission channels. We also propose new iterative source-channel decoding philosophy exchanging soft extrinsic information, combines CS by merging their respective factor graphs. then characterize scheme Extrinsic Information Transfer (EXIT) chart analysis. Our BLock Error Rate (BLER) results show that proposed LDPC-CS attains about 1.5 dB gain at BLER $10^{-3}$ compared benchmarker, employs separate decoding. Naturally, achieved cost approximately doubling complexity scheme.