This book offers a collection of high-quality research papers presented at the 2nd International Conference on Sensor Networks and Signal Processing (SNSP 2019), held in Taiwan on November 19-22, 2019. It presents novel contributions in the areas of sensor and actuator networks, wireless networks, networking and protocols, security and privacy, wireless communications, distributed algorithms, Internet of Things, system modeling and performance analysis, fault tolerance/diagnostics, information management, data mining and analysis, embedded systems design, signal theory, signal and image processing, detection and estimation, spectral analysis, software developments, pattern recognition, data processing, remote sensing, big data, machine learning, information and coding theory, and industrial applications.

Autorentext
Sheng-Lung Peng is a Professor of the Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan. He is an Honorary Professor at Beijing Information Science and Technology University, China, and a Visiting Professor at Ningxia Institute of Science and Technology, China. He is also an Adjunct Professor at Mandsaur University, India. He serves as the Director of the ICPC Asia Taipei-Hsinchu Site and as Director of the Institute of Information and Computing Machinery; of the Information Service Association of Chinese Colleges; and of the Taiwan Association of Cloud Computing. His research interests are in designing and analyzing algorithms for bioinformatics, combinatorics, data mining, and networks; areas in which he has published over 100 research papers. Margarita N. Favorskaya is a Professor and Head of the Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology, Russian Federation. She has been a member of KES since 2010. She serves as a reviewer for several international journals (Neurocomputing, Knowledge Engineering and Soft Data Paradigms, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence); as an Associate Editor for Intelligent Decision Technologies Journal, the International Journal of Knowledge-Based and Intelligent Engineering Systems, and the International Journal of Reasoning-based Intelligent Systems; and as an Honorary Editor for the International Journal of Knowledge Engineering and Soft Data Paradigms. Having published more than 200 papers, her main research interests are in digital image and video processing, remote sensing, pattern recognition, fractal image processing, artificial intelligence, and information technologies. Han-Chieh Chao is currently a Professor at the Department of Electrical Engineering, National Dong Hwa University, where he also serves as President. He is also affiliated with the Department of Computer Science and Information Engineering and the Department of Electronic Engineering, National Ilan University, Taiwan; College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, China; and Fujian University of Technology, Fuzhou, China. His research interests include high-speed networks, wireless networks, IPv6-based networks, digital creative arts, e-Government, and the digital divide. Having published over 400 research papers, he also serves as the Editor-in-Chief for the Institution of Engineering and Technology Networks, the Journal of Internet Technology, the International Journal of Internet Protocol Technology, and the International Journal of Ad Hoc and Ubiquitous Computing. He is a Fellow of the IET (IEE) and a Chartered Fellow of the British Computer Society.

Inhalt
An Improved Clustering Routing Algorithm for Heterogeneous Wireless Sensor Network.- Improvement of RPL Routing Strategy Based on 6LoWPAN.- Design of a New Multi-output Constant Current Source Based on Power Allocation Control Strategy.- Use Accelerometer to Monitoring the Exercise Status: Held the Push-ups Movement as an Example.- Low-coupling 2*1 Micro-strip Antenna Array Based on Defect Structure.- Power Control in D2D Underlay Distributed Antenna Systems.- Analysis of Transmission Efficiency of Magnetically Coupled Resonant Radio Energy.- Remote Monitoring of River Water Pollution Using Multiple Sensor System of WSNs and IoT.