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Sensors 2017, 17(8), 1702; https://doi.org/10.3390/s17081702

In-Network Computation of the Optimal Weighting Matrix for Distributed Consensus on Wireless Sensor Networks

Department of Biomedical Engineering and Sciences, Tecnun, University of Navarra, Manuel Lardizábal 13, 20018 San Sebastián, Spain
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Received: 17 May 2017 / Revised: 3 July 2017 / Accepted: 21 July 2017 / Published: 25 July 2017
(This article belongs to the Special Issue Cognitive Radio Sensing and Sensor Networks)
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Abstract

In a network, a distributed consensus algorithm is fully characterized by its weighting matrix. Although there exist numerical methods for obtaining the optimal weighting matrix, we have not found an in-network implementation of any of these methods that works for all network topologies. In this paper, we propose an in-network algorithm for finding such an optimal weighting matrix. View Full-Text
Keywords: consensus; distributed computation; networks consensus; distributed computation; networks
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Insausti, X.; Gutiérrez-Gutiérrez, J.; Zárraga-Rodríguez, M.; Crespo, P.M. In-Network Computation of the Optimal Weighting Matrix for Distributed Consensus on Wireless Sensor Networks. Sensors 2017, 17, 1702.

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