Reducing Power Consumption of Wireless Capsule Endoscopy Utilizing Compressive Sensing Under Channel Constraint

Abstract

Wireless capsule endoscopy (WCE) is considered as recent technology for the detection cancer cells in the human digestivesystem. WCE sends the captured information from inside the body to a sensor on the skin surface through a wireless medium. InWCE, the design of low-power consumption devices is a challenging topic. In the Shannon-Nyquist sampling theorem, thenumber of samples should be at least twice the highest transmission frequency to reconstruct precise signals. The number ofsamples is proportional to the power consumption in wireless communication. This paper proposes compressive sensing as amethod to reduce power consumption in WCE, by means of a trade-off between samples and reconstruction accuracy. Theproposed scheme is validated under channel constraints, expressed as the realistic human body path loss. The results show thatthe proposed scheme achieves a significant reduction in WCE power consumption and achieves a faster computation time withlow signal error reconstruction.