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Distributed consensus algorithms have recently gained a large interest in sensor networks as a way to achieve globally optimal decisions in a totally decentralized way, that is without the need of sending all the data collected by the sensors to a fusion center. The goal of this paper is to show that modeling a consensus algorithm as the homogenization process of a fluid through an advection-diffusion process provides a fundamental clue to design innovative consensus algorithms whose convergence rate can be increased by acting on the (equivalent) advection mechanism, without increasing the coverage radius of any sensor.
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