Distributed information fusion with intermittent observations for large-scale sensor networks

Kim, D, Yoon, J, Jeon, M and Shin, V 2011, 'Distributed information fusion with intermittent observations for large-scale sensor networks', International Journal of Innovative Computing, Information and Control, vol. 7, no. 11, pp. 6437-6451.


Document type: Journal Article
Collection: Journal Articles

Title Distributed information fusion with intermittent observations for large-scale sensor networks
Author(s) Kim, D
Yoon, J
Jeon, M
Shin, V
Year 2011
Journal name International Journal of Innovative Computing, Information and Control
Volume number 7
Issue number 11
Start page 6437
End page 6451
Total pages 15
Publisher ICIC International
Abstract In this paper, we present a robust distributed fusion algorithm to handle intermittent observations via an interacting multiple model (IMM) and a sliding window strategy which is applied to large-scale sensor networks. Intermittent observations are frequently occurred in practice especially when the scale of network becomes larger and sensors are dynamically connected. To solve the problem, we model the communication channel as a jump Markov system and a posterior probability distribution of communication channel characteristics is calculated and incorporated into the filter. By doing so, the distributed Kalman ltering can automatically handle the intermittent observation situations. For the implementation of the distributed fusion, a Kalman-Consensus filter (KCF) is adopted to provide the average consensus based on the estimates of distributed sensors over a large-scale sensor network. In addition, the algorithm is extended to nonlinear systems so as to be implemented for more general dynamic systems. The advantages of proposed algorithm are subsequently verified from target tracking examples for a largescale network with intermittent observations.
Subject Signal Processing
Keyword(s) Distributed fusion
Intermittent observation
Kalman filtering
Nonlinear systems
Copyright notice © 2011 ICIC International
ISSN 1349-4198
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