A Sparse Optimization Method for Distributed Hydrology Information Monitoring System
Huang LIJUN, Zhang SHUFANG, Yao HAN, HU Xue-qing, Zhang JIAHUA · DOAJ (DOAJ: Directory of Open Access Journals) · 2013
The sparse optimization method is an effective technological approach to solve information detection and spectrum sensing in hydrology information monitoring sensor network and it is at the frontier domain of water data collection and transmission field in home and abroad. By combining sparse optimization with distributed hydrology information monitoring and based on the theoretical framework of sparse optimization of distributed water level monitoring, the paper puts forward the distributed sparse optimization monitoring method of water environment information, which expands the new application of sparse optimization in distributed network on one hand. On the other hand, it points out the reconstruction method of joint sparse signals based on the block coordinate descent method. Simulation experiment shows that the proposed method can converge quickly to the approximate optimal solution and has a good robustness for calculation error caused by inaccurate average and other uncertain factors in the network.