Compressed sensing data fusion of monitoring cyanobacteria bloom-forming

Abstract

Wireless senor networks have more and more applications while fundamental constraint still exists, such as limited power supply and bandwidth. When the sensing signal exhibits spare, we can sampling only a part of signal corresponding to nonzero coefficients. Inspired by recent results in theory of compressive sensing (CS), we propose a data fusion method based on CS. First, we describe the distributed data fusion in UWSNs based on CS. Then, we present a monitoring model of the cyanobacteria bloom-forming (CBF). Finally, we demonstrate the performance analysis and provide concluding remarks. © 2013 Springer-Verlag.