Paper Info
Title
Bayesian-based localization of wireless capsule endoscope using received signal strength.
Abstract
In wireless body area sensor networking (WBASN) applications such as gastrointestinal (GI) tract monitoring using wireless video capsule endoscopy (WCE), the performance of out-of-body wireless link propagating through different body media (i.e. blood, fat, muscle and bone) is still under investigation. Most of the localization algorithms are vulnerable to the variations of path-loss coefficient resulting in unreliable location estimation. In this paper, we propose a novel robust probabilistic Bayesian-based approach using received-signal-strength (RSS) measurements that accounts for Rayleigh fading, variable path-loss exponent and uncertainty in location information received from the neighboring nodes and anchors. The results of this study showed that the localization root mean square error of our Bayesian-based method was 1.6 mm which was very close to the optimum Cramer-Rao lower bound (CRLB) and significantly smaller than that of other existing localization approaches (i.e. classical MDS (64.2mm), dwMDS (32.2mm), MLE (36.3mm) and POCS (2.3mm)).
Year
DOI
Venue
2014
10.1109/EMBC.2014.6944993
EMBC
Keywords
DocType
Volume
medical robotics,size 32.2 mm,cramer-rao lower bound,endoscopes,wireless capsule endoscope,biomedical measurement,size 36.3 mm,localization root mean square error,variable path-loss exponent,bayes methods,crlb,received signal strength,rss measurement,rayleigh fading,microrobots,size 2.3 mm,location information,size 64.2 mm,bayesian-based localization
Conference
2014
ISSN
Citations 
PageRank 
1557-170X
1
0.38
References 
Authors
3
4
Name
Order
Citations
PageRank
Esmaeil S. Nadimi195.90
Victoria Blanes-Vidal263.46
Vahid Tarokh3103731461.51
Per Michael Johansen410.72