Advanced Signal Processing and Data Analysis for Smart IoT Ecosystems

Dear Colleagues,

The Internet of Things (IoT) ecosystem is a vast network of complementary technologies and components that technical specialists use to reach a specific goal. From the point of view of protocol stacks, the physical layer requires sophisticated signal processing technologies to (1) extract valuable information and deliver it to an upper layer and (2) eliminate unwanted interference during data transmission. In addition, advanced data analysis is required to retrieve helpful information in the ecosystems. The purpose of this topic is to bring together state-of-the-art achievements on signal processing and data analysis and their applications on smart IoT. It discusses emerging smart IoT ecosystems and technologies from the physical layer to the application layer. We believe this topic would be a platform for colleagues to exchange novel ideas in this area. Primarily, we expect some novel approaches that fuse the idea of adaptive signal processing and machine learning techniques to open the field of intelligent signal processing. We encourage authors to submit original research articles, case studies, reviews, theoretical and critical perspectives, and viewpoint articles on (but not limited to) signal processing in communication systems, indoor positioning, environmental monitoring, bio-signal processing, artificial intelligence, contactless vital sign monitoring, remote health care, wireless networks, and multimedia interactions. Submitted manuscripts should not have been published previously nor be under consideration for publication elsewhere. We allow extending versions of published conference proceedings papers as well.

Prof. Dr. Ying-Ren Chien
Prof. Dr. Mu Zhou
Prof. Dr. Liang-Hung Wang
Dr. Xun Zhang
Topic Editors