Experimental results of compressive sensing on wireless multimedia sensor networks.

Compressed Sensing (CS) was presented as a means to achieve overcome the challenges faced by Wireless Multimedia Sensor Networks. A sensing matrix is crucial to the compressed sensing framework. The sensing matrix can maintain the fidelity of a compressed signal, diminish the sampling rate obligation and improve the strength and performance of the recovery algorithm. A great number of measurement matrices have been proposed to either offer reduced computational complexity or good recovery performance, but only some have managed to accomplish both, and even fewer have been proven in a compelling manner. Experiments were conducted to evaluate the fidelity and energy efficiency of different compressive sensing matrices for applications on Wireless Multimedia Sensor Networks.