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Communication Optimizations for a Wireless Distributed Prognostic FrameworkDistributed architecture for prognostics is an essential step in prognostic research in order to enable feasible real-time system health management. Communication overhead is an important design problem for such systems. In this paper we focus on communication issues faced in the distributed implementation of an important class of algorithms for prognostics - particle filters. In spite of being computation and memory intensive, particle filters lend well to distributed implementation except for one significant step - resampling. We propose new resampling scheme called parameterized resampling that attempts to reduce communication between collaborating nodes in a distributed wireless sensor network. Analysis and comparison with relevant resampling schemes is also presented. A battery health management system is used as a target application. A new resampling scheme for distributed implementation of particle filters has been discussed in this paper. Analysis and comparison of this new scheme with existing resampling schemes in the context for minimizing communication overhead have also been discussed. Our proposed new resampling scheme performs significantly better compared to other schemes by attempting to reduce both the communication message length as well as number total communication messages exchanged while not compromising prediction accuracy and precision. Future work will explore the effects of the new resampling scheme in the overall computational performance of the whole system as well as full implementation of the new schemes on the Sun SPOT devices. Exploring different network architectures for efficient communication is an importance future research direction as well.
Document ID
20090033820
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Saha, Sankalita
(Research Inst. for Advanced Computer Science Moffett Field, CA, United States)
Saha, Bhaskar
(QSS Group, Inc. Moffett Field, CA, United States)
Goebel, Kai
(Research Inst. for Advanced Computer Science Moffett Field, CA, United States)
Date Acquired
August 24, 2013
Publication Date
March 7, 2009
Subject Category
Mathematical And Computer Sciences (General)
Report/Patent Number
ARC-E-DAA-TN-246
Meeting Information
Meeting: 2009 IEEE Aerospace Conference
Location: Big Sky, MT
Country: United States
Start Date: March 7, 2009
End Date: March 14, 2009
Sponsors: American Inst. of Aeronautics and Astronautics, Institute of Electrical and Electronics Engineers
Funding Number(s)
WBS: WBS 645846.02.07.01.01
Distribution Limits
Public
Copyright
Public Use Permitted.
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