Moving averaging method of RSSI based distance estimation for wireless capsule localization

Umma Hany, Lutfa Akter, Md Farhad Hossain

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication1st International Conference on Medical Engineering, Health Informatics and Technology, MediTec 2016
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-5
Number of pages5
ISBN (Electronic)9781509054213
DOIs
Publication statusPublished - 26 Jan 2017
Externally publishedYes
Event1st International Conference on Medical Engineering, Health Informatics and Technology, MediTec 2016 - Dhaka, Bangladesh
Duration: 17 Dec 201618 Dec 2016

Publication series

Name1st International Conference on Medical Engineering, Health Informatics and Technology, MediTec 2016

Conference

Conference1st International Conference on Medical Engineering, Health Informatics and Technology, MediTec 2016
Country/TerritoryBangladesh
CityDhaka
Period17/12/1618/12/16

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