Max Consensus in the Presence of Additive Noise
Published: Oct 1, 2018
Abstract
The analysis of a distributed consensus algorithm for estimating the maximum of the node initial state values in a network is considered in the presence of communication noise. Conventionally, the maximum is estimated by updating the node state value with the largest received measurements in every iteration at each node. However, due to additive channel noise, the estimate of the maximum at each node has a positive drift at each iteration and...
Paper Details
Title
Max Consensus in the Presence of Additive Noise
Published Date
Oct 1, 2018
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