This paper offers a practical distributed data compression in wireless sensor networks based on convolutional code and turbo code. An improved Viterbi algorithm for distributed source coding (VADSC) is proposed to take the advantage of the known parity bits at the decoder. When the algorithm is applied to recursive systematic convolutional (RSC) and Turbo codes, it can decrease both the decoding error probability and the computation complexity. Also a scheme of applying distributed source coding to wireless sensor networks is proposed to ensure receiving the data correctly as well as reducing the energy consumption in the networks.