Abstract

Distributed networks comprising decision-making units of variable competence are used to perform a sequence of tasks. Estimation of the local competences based solely on comparisons of local decisions on dynamically changing tasks is necessary for improving decision aggregation performance. This paper addresses distributed estimation of local competences on networks of heterogeneous decision-making units. We propose an order-preserving metric that depends on the local network structure to measure the competence of each node in the network instantaneously. We investigate two regimes of operation: First, the tasks are received at low frequency, or sequentially, hence the network can reach a consensus in-between tasks. Second, tasks are received at high frequency, or in batches, in which case, the network reaches to a consensus after tasks are processes locally.

Original languageEnglish (US)
Title of host publication2019 IEEE 62nd International Midwest Symposium on Circuits and Systems, MWSCAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages476-480
Number of pages5
ISBN (Electronic)9781728127880
DOIs
StatePublished - Aug 2019
Event62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019 - Dallas, United States
Duration: Aug 4 2019Aug 7 2019

Publication series

NameMidwest Symposium on Circuits and Systems
Volume2019-August
ISSN (Print)1548-3746

Conference

Conference62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019
CountryUnited States
CityDallas
Period8/4/198/7/19

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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  • Cite this

    Sevuktekin, N. C., Schwing, A. G., & Singer, A. C. (2019). Distributed Estimation via Opinion Dynamics. In 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems, MWSCAS 2019 (pp. 476-480). [8885091] (Midwest Symposium on Circuits and Systems; Vol. 2019-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2019.8885091