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Wireless Sensor Networks is drawing attention of researchers from diverse fields. Recent advancements in semiconductor technology and wireless communications has enabled the development of smaller, cheaper and power efficient sensor nodes. This makes the sensor nodes unreliable and the wireless channel also introduces errors in the sensed data. So, correcting the errors and ensuring reliability is one of the major challenges in design and development of wireless sensor networks. In this thesis, we develop a framework for optimal joint Source-Channel Maximum Likelihood decoding in wireless sensor networks. The proposed scheme exploits the spatio-temporal correlation of the narrowband sensor data for detection in Wireless Sensor Networks. The analytical union bound for the mean squared error of sensor data for a system employing the proposed joint decoding scheme is derived based on the …