Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISSNIP.2007.4496937
Title: Information quality management in sensor networks based on the dynamic Bayesian network model
Authors: Tolstikov, A. 
Xiao, W.
Biswas, J.
Zhang, S. 
Tham, C.-K. 
Issue Date: 2007
Source: Tolstikov, A., Xiao, W., Biswas, J., Zhang, S., Tham, C.-K. (2007). Information quality management in sensor networks based on the dynamic Bayesian network model. Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP : 751-756. ScholarBank@NUS Repository. https://doi.org/10.1109/ISSNIP.2007.4496937
Abstract: To satisfy application Information Quality (IQ) constraints in a sensor network, the efficient way is to choose the most appropriate sensor nodes and sensor modalities which would provide a required IQ for the current state of the system. In this paper, two formulations of an activity recognition application are considered - the first based on static Bayesian Network (BN), and the second on Dynamic Bayesian Network (DBN) which allows temporal changes to the conditional probabilities of the system states. It is shown that for similar results, in the certainty of state estimation, the formulation based on DBN uses much less resources, because it relies significantly on the readings obtained in the past. Also DBN model is more robust since it greatly reduces the likelihood of selecting unnaturally drastic state changes. © 2007 IEEE.
Source Title: Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP
URI: http://scholarbank.nus.edu.sg/handle/10635/70598
ISBN: 1424415020
DOI: 10.1109/ISSNIP.2007.4496937
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

11
checked on Dec 14, 2017

WEB OF SCIENCETM
Citations

1
checked on Nov 19, 2017

Page view(s)

21
checked on Dec 17, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.