TY - GEN
T1 - Diffusion least mean square algorithms with zero-attracting adaptive combiners
AU - Wen, Fuxi
AU - Liu, Wei
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12
Y1 - 2015/12
N2 - Distributed algorithms have been proposed to address the problem of detection and estimation over wireless sensor networks. For diffusion algorithms, the combination weights play an important role. The estimates collected from some neighbors are less reliable than the others due to low signal-to-noise ratio (SNR) conditions. Thus, smaller weights can be given to the noisy estimates, with larger weights placed on those in higher SNR conditions. To improve the robustness to such cases and reduce the communication and computational complexity of sensor networks, a zero-attracting adaptive combination strategy is derived in this work.
AB - Distributed algorithms have been proposed to address the problem of detection and estimation over wireless sensor networks. For diffusion algorithms, the combination weights play an important role. The estimates collected from some neighbors are less reliable than the others due to low signal-to-noise ratio (SNR) conditions. Thus, smaller weights can be given to the noisy estimates, with larger weights placed on those in higher SNR conditions. To improve the robustness to such cases and reduce the communication and computational complexity of sensor networks, a zero-attracting adaptive combination strategy is derived in this work.
UR - http://www.scopus.com/inward/record.url?scp=84964257931&partnerID=8YFLogxK
U2 - 10.1109/CIT/IUCC/DASC/PICOM.2015.36
DO - 10.1109/CIT/IUCC/DASC/PICOM.2015.36
M3 - Conference article published in proceeding or book
AN - SCOPUS:84964257931
T3 - Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
SP - 252
EP - 256
BT - Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
A2 - Atzori, Luigi
A2 - Jin, Xiaolong
A2 - Jarvis, Stephen
A2 - Liu, Lei
A2 - Calvo, Ramon Aguero
A2 - Hu, Jia
A2 - Min, Geyong
A2 - Georgalas, Nektarios
A2 - Wu, Yulei
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
Y2 - 26 October 2015 through 28 October 2015
ER -