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

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3 Author(s)
Paul, H. ; Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany ; Fliege, J. ; Dekorsy, A.

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.

Published in:

Communications Letters, IEEE  (Volume:17 ,  Issue: 1 )