Local average consensus in distributed measurement of spatial–temporal varying parameters: 1D case
We study a new variant of consensus problems, termed ‘local average consensus’, in networks of agents. We consider the task of using sensor networks to perform distributed measurement of a parameter which has both spatial (in this paper 1D) and temporal variations. Our idea is to maintain potentially useful local information regarding spatial variation, as contrasted with reaching a single, global consensus, as well as to mitigate the effect of measurement errors. We employ two schemes for...[Show more]
|Collections||ANU Research Publications|
|Anderson et al Local Average Consensus in Distributed Measurement 2014.pdf||930.72 kB||Adobe PDF|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.