Bayesian Outlier Detection in Location-aware Wireless Networks
Paper i proceeding, 2011
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.