TY - GEN
T1 - Distributed source coding in wireless sensor networks
AU - Guogang, Hua
AU - Chang, Wen Chen
PY - 2005
Y1 - 2005
N2 - 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 (VA-DSC) 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.
AB - 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 (VA-DSC) 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.
UR - https://www.scopus.com/pages/publications/33845404795
U2 - 10.1109/QSHINE.2005.19
DO - 10.1109/QSHINE.2005.19
M3 - Conference contribution
SN - 0769524230
SN - 9780769524238
T3 - Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks, Qshine 2005
BT - Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks, Qshine 2005
T2 - 2nd International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks, Qshine 2005
Y2 - 22 August 2005 through 23 August 2005
ER -