Building graphical model based system in sensor networks

Authors:
Dongyu Shi;Jinyuan You;Zhengwei Qi
Affiliations:
Department of Computer Science and Engineering, Shanghai Jiao Tong, University, Shanghai, P.R. China;Department of Computer Science and Engineering, Shanghai Jiao Tong, University, Shanghai, P.R. China;Department of Computer Science and Engineering, Shanghai Jiao Tong, University, Shanghai, P.R. China
Venue:
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Year:
2005

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Abstract

Consisting of a large number of sensing and computational devices distributed in an environment, a sensor network can gather and process data about a physical area in real time. Due to the limited computing power in each sensor, limited bandwidth connections, limited storage and other limitations, how to deal with the data and uncertainty knowledge is one of the most important and central problems in such kind of distributed systems. This paper presents a graphical model based intelligent system that can model the uncertainty knowledge in sensor networks. This system uses belief messages as a basis for communication. We focus on parameter learning process for building the model, and experiments are presented.