Name
Abstract | ||
|---|---|---|
Location-aware networks are a rapidly growing area of research with a wide range of applications. The accuracy of localization depends on the reliability of the information exchanged between devices in the network. In practice, devices may fail or maliciously inject false position information into the network. This paper aims to design and test algorithms to verify the location consistency in wireless networks. We propose a new method based on factor graphs. This method is flexible, easily extendible to cooperative networks, and leads to significant performance improvements compared to existing techniques that are based on linear programming. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/WPNC.2011.5961012 | WPNC |
Keywords | Field | DocType |
localization,factor graphs,bayesian outlier detection,bayes methods,location-aware wireless networks,mobility management (mobile radio),linear programming,radio networks,reliability,false position information,cooperative networks,graphical model,linear program,wireless networks,outlier detection,graphical models,degradation,random variable,mutual information,message passing,random variables,wireless network | Factor graph,Data mining,Anomaly detection,Wireless network,Computer science,Computer network,Linear programming,Mutual information,Graphical model,Message passing,Distributed computing,Bayesian probability | Conference |
ISBN | Citations | PageRank |
978-1-4577-0449-9 | 3 | 0.44 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yi Li | 1 | 3 | 0.44 |
| Dapeng Liu | 2 | 5 | 3.20 |
| Henk Wymeersch | 3 | 1589 | 128.47 |