Cloud Bayesian Network Based Data Processing in Battlefield Sensor Networks

DOI

10.2991/mmssa-18.2019.28How to use a DOI?

Keywords

cloud model; bayesian network; data processing; battlefield sensor networks; data fuzzification; data fusion

Abstract

The application of battlefield sensor networks needs a simple but efficient method to fuse the data and information from multi-sources and generate a cognitive result for commanders. However, it is still a challenge to convert the sensor data into fuzzy concepts so that people can understand easily. In this paper we present a new data processing model named Cloud Bayesian Network (CBN), which is inspired by fuzzy Bayesian Network but has more advantages. Based on CBN, we illustrate some important techniques in this algorithm and apply the model to a case study for data processing in battlefield sensor networks. Finally, we evaluate the performance of proposed model by comparing it with other models and verify its effectiveness.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haiyan Yang
AU  - Shuaiwen Zhang
AU  - Mu Yang
PY  - 2019/01
DA  - 2019/01
TI  - Cloud Bayesian Network Based Data Processing in Battlefield Sensor Networks
BT  - Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)
PB  - Atlantis Press
SP  - 117
EP  - 123
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmssa-18.2019.28
DO  - 10.2991/mmssa-18.2019.28
ID  - Yang2019/01
ER  -