@inproceedings{78c8c73a7ced40f4920ceb734f70e165,
title = "Proposition of a Bayesian model for the propagation of the information in a wireless sensor network",
abstract = "Wireless sensor networks (WSN) are specially distributed sensors deployed for the purpose of sensing and monitoring physical or environmental conditions. Sensor measurements in WSN usually suffer from both random errors (noise) and systematic errors (bias). This poses a major problem in the end application, as the data from the network become progressively uninformative.",
keywords = "Bayesians models, Data fusion, detection, learning methods, nonlinear signal processing",
author = "Frederic Lehmann and Dina Chaal and Abdelouahid Lyhyaoui",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE/ACS International Conference of Computer Systems and Applications, AICCSA 2015 ; Conference date: 17-11-2015 Through 20-11-2015",
year = "2016",
month = jul,
day = "7",
doi = "10.1109/AICCSA.2015.7507193",
language = "English",
series = "Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA",
publisher = "IEEE Computer Society",
booktitle = "2015 IEEE/ACS 12th International Conference of Computer Systems and Applications, AICCSA 2015",
}