TY - GEN
T1 - Moving averaging method of RSSI based distance estimation for wireless capsule localization
AU - Hany, Umma
AU - Akter, Lutfa
AU - Hossain, Md Farhad
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/26
Y1 - 2017/1/26
N2 - In this paper, we propose an efficient method of distance estimation for the localization of wireless capsule endoscope (WCE) using received signal strength indicator (RSSI). As RSSI is attenuated with change of distance, we can use RSSI measurements to estimate the distance. The main challenge in wireless capsule localization in the gastrointestinal (GI) tract is the random deviation in RSSI measurements due to the shadowing and multi-path propagation effects of non-homogeneous medium. In this paper, we propose a method of distance estimation which can improve the accuracy of wireless capsule localization. To address the randomness issue of RSSI measurements, we propose moving averaging method of path loss to estimate the distance of the swallowed capsule. We simulate our proposed method using MATLAB and observe significant improvement in distance estimation of the capsule considering non-homogeneous environment of human body.
AB - In this paper, we propose an efficient method of distance estimation for the localization of wireless capsule endoscope (WCE) using received signal strength indicator (RSSI). As RSSI is attenuated with change of distance, we can use RSSI measurements to estimate the distance. The main challenge in wireless capsule localization in the gastrointestinal (GI) tract is the random deviation in RSSI measurements due to the shadowing and multi-path propagation effects of non-homogeneous medium. In this paper, we propose a method of distance estimation which can improve the accuracy of wireless capsule localization. To address the randomness issue of RSSI measurements, we propose moving averaging method of path loss to estimate the distance of the swallowed capsule. We simulate our proposed method using MATLAB and observe significant improvement in distance estimation of the capsule considering non-homogeneous environment of human body.
KW - Distance estimation
KW - RSSI based distance estimation
KW - Wireless Capsule Endoscope localization
UR - http://www.scopus.com/inward/record.url?scp=85015655605&partnerID=8YFLogxK
UR - https://events.vtools.ieee.org/m/46076
U2 - 10.1109/MEDITEC.2016.7835359
DO - 10.1109/MEDITEC.2016.7835359
M3 - Conference contribution
AN - SCOPUS:85015655605
T3 - 1st International Conference on Medical Engineering, Health Informatics and Technology, MediTec 2016
SP - 1
EP - 5
BT - 1st International Conference on Medical Engineering, Health Informatics and Technology, MediTec 2016
PB - IEEE, Institute of Electrical and Electronics Engineers
T2 - 1st International Conference on Medical Engineering, Health Informatics and Technology, MediTec 2016
Y2 - 17 December 2016 through 18 December 2016
ER -