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Content Provider | IEEE Xplore Digital Library |
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Author | Cao Meng Li Meng Qing Hao Wu Yu Xiu Zeng Ming Li Wei |
Copyright Year | 2013 |
Description | Author affiliation: Inst. of Robot. & Autonomous Syst., Tianjin Univ., Tianjin, China (Cao Meng Li; Meng Qing Hao; Wu Yu Xiu; Zeng Ming; Li Wei) |
Abstract | A distributed estimation of the gas-leakage source location using a wireless sensor network is proposed. The cumulative objective function of centralized least square approach imposes difficulties on its distributed implementation, while the sequential updating of posterior probability density function in the Bayesian inference makes it straightforward to form a distributed algorithm. The objective function of centralized least square method is decomposed to single summands. Then, local estimates aimed at minimizing these summands are calculated in the perspective of sequential Bayesian inference. Finally, the weighted summation of these local estimates forms the global estimates, and the measurements are regarded as the adaptive weights. Consensus algorithm is applied to fuse the local estimates. The computational complexity of local estimation is dramatically decreased, and numerical examples show the fast convergence and considerable accuracy of our algorithm. |
Starting Page | 7398 |
Ending Page | 7403 |
File Size | 908967 |
Page Count | 6 |
File Format | |
ISBN | 9789881563835 |
ISSN | 19341768 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-26 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | TCCT, CAA |
Subject Keyword | Chemical hazards Wireless sensor networks Distributed processing Gas source localization Estimation Position measurement Probability density function Linear programming Gas leak detection Sensors Bayes methods |
Content Type | Text |
Resource Type | Article |
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