Bayesian data and channel joint maximum-likelihood based error correction in wireless sensor networks


We propose a novel Bayesian error correction algorithm based on joint channel and data maximal-likelihood (ML) detection in wireless sensor networks (WSN). The proposed algorithm employs the temporal correlation of the narrowband sensor data in conjunction with the channel state information (CSI) for detection and error correction of the data received over… (More)
DOI: 10.1145/2185216.2185261


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