Kumar, Kalyankar ShravanKalyankar ShravanKumarGeorge, Nithin V.Nithin V.George2025-08-302025-08-302018-03-0110.1109/TCSII.2017.27201812-s2.0-85021960364https://d8.irins.org/handle/IITG2025/22316Wireless sensor networks, including wireless acoustic sensor networks, have found applications in diverse areas including hearing aids, hands-free telephony, and target tracking. The objective of this brief is to introduce a new sparsity regularization parameter in sparse distributed network estimation, to achieve a better estimation accuracy in comparison with existing sparse-aware algorithms. In order to further reduce the computational complexity, the algorithm has also been designed for heterogeneous sensor networks, where only a fraction of the sensor nodes use sparse-aware adaptive estimation schemes.falsediffusion strategy | Distributed networks | heterogeneous networks | sparse system estimationArticle15583791401-405March 201814arJournal11WOS:000426274600028