Data and error rate bounds for binary data gathering wireless sensor networks

The goal of this paper is to provide analytical assessment that justifies the performance tendencies of practical encoding/decoding techniques for a binary data gathering wireless sensor network (WSN). The theoretical rate region of the WSN is approximately analyzed based on the Slepian-Wolf theorem. We also derive the bit error rate (BER) floor given the observation error probability by using the Poisson-binomial distribution approximation. The simulation results show that the BER performance of our proposed technique is close to theoretical limits supported by the Slepian-Wolf theorem. The extrinsic information transfer chart analysis is also used to verify the BER performance. Moreover, the simulation results show that the bit error probability floor is matched with the Poisson-binomial approximation