J. lnf. Commun. Converg. Eng. 16(2): 130-134, Jun. 2018 Regular paper 130 Received 11 May 2018, Revised 11 June 2018, Accepted 12 June 2018 *Corresponding Author Soo Young Shin (E-mail: wdragon@kumoh.ac.kr, Tel: +82-54-478-7473) Department of IT Convergence Engineering, Kumoh National Institute of Technology, 61, Daehak-ro, Gumi 39177, Korea. https://doi.org/10.6109/jicce.2018.16.2.130 print ISSN: 2234-8255 online ISSN: 2234-8883 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by- nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright ⓒ The Korea Institute of Information and Communication Engineering Reducing Power Consumption of Wireless Capsule Endoscopy Utilizing Compressive Sensing Under Channel Constraint Oka Danil Saputra 1 , Fahri Wisnu Murti 2 , Mohammad Irfan 3 , Nadea Nabilla Putri 4 and Soo Young Shin 2 * , Member, KIICE 1 Neural Technologies, Jakarta 12930, Indonesia 2 Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea 3 Institut national de la recherche scientifique (INRS), Montreal, Canada 4 Ikonsultan Inovatama, Jakarta 12550, Indonesia Abstract Wireless capsule endoscopy (WCE) is considered as recent technology for the detection cancer cells in the human digestive system. WCE sends the captured information from inside the body to a sensor on the skin surface through a wireless medium. In WCE, the design of low-power consumption devices is a challenging topic. In the Shannon-Nyquist sampling theorem, the number of samples should be at least twice the highest transmission frequency to reconstruct precise signals. The number of samples is proportional to the power consumption in wireless communication. This paper proposes compressive sensing as a method to reduce power consumption in WCE, by means of a trade-off between samples and reconstruction accuracy. The proposed scheme is validated under channel constraints, expressed as the realistic human body path loss. The results show that the proposed scheme achieves a significant reduction in WCE power consumption and achieves a faster computation time with low signal error reconstruction. Index Terms: Compressive sensing, Path loss, Power consumption, Wireless capsule endoscopy I. INTRODUCTION Cancer is a dangerous human diseases faced in the current world. In the biomedical field, wireless capsule endoscopy (WCE) is a significant breakthrough in the discovery of can- cer cells located in the esophagus, stomach, small intestine, and colon. It was invented to provide diagnosis of abnormal cells and the cancer location via image or video, transmitted by the capsule. Based on complementary metal oxide semi- conductor technology, the WCE capsule can be swallowed by the patient. It is also highly mobile compared with con- ventional endoscopy. However, there are several challenges that should be overcome to enhance the WCE performance, including localization of the capsule, antenna design, and power efficiency [1]. Instead of solving these problems simultaneously, in this study, we focus on reducing the power consumption of WCE, by considering realistic human body path-loss under channel constraints. The system operation design of WCE has been success- fully applied for autofluorescence intensity detection in bio- logical tissues [2]. Intestinal tissue that emits photons in responses to LED illumination, namely the single-photon