In-Network-Processing: Distributed Consensus-Based Linear Estimation

Authors: H. Paul, J. Fliege, A. Dekorsy
Abstract: In a cooperative broadcast scenario, a group of nodes in a network aims to reconstruct a common message. In this paper, we present a new algorithm for distributed consensus-based estimation in such scenarios. Possible applications comprise mobile communication systems and sensor networks. Starting with a least squares estimation problem, the algorithm is developed using techniques from optimization theory. The required communication effort for parallel implementation in a resource-constrained network is estimated and compared to existing approaches. We show that the proposed algorithm requires fewer iterations and a reduced communication overhead per iteration while keeping the estimation accuracy. A modification of the algorithm based on an approximation is presented, which reduces the communication effort even further. All results are corroborated by computer simulations considering different system parameters.
Document type: Journal Paper
Publication: IEEE Communications Letters, January 2013
Journal: IEEE Communications Letters
Pages: 59-62
Volume: 17
Number: 1
Files:
accepted version
paul_comml_1_2013.pdf132 KB
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Last change on 19.02.2013 by H. Paul
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