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Distributed Algorithms for Verifying and Ensuring Strong Connectivity of Directed Networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

5 Citations (Scopus)
30 Downloads (Pure)

Abstract

This paper considers the problem of distributively verifying and ensuring strong connectivity of directed networks. Strong connectivity of a directed graph associated with the communication network topology is crucial in ensuring the convergence of many distributed algorithms. Specifically, inspired by maximum consensus algorithm, we first propose a distributed algorithm that enables nodes in a networked system to verify strong connectivity of a directed graph. Then, given an arbitrary weakly connected directed graph, we develop a distributed algorithm to augment additional links to ensure the directed graph’s strong connectivity. Both algorithms are implemented without requiring information of the overall network topology and are scalable (linearly with the number of nodes) as they only require finite storage and converge in finite number of steps. Finally, the proposed distributed algorithms are demonstrated via several examples.
Original languageEnglish
Title of host publication2021 60th IEEE Conference on Decision and Control (CDC)
PublisherIEEE
Pages4798-4803
Number of pages6
ISBN (Electronic)978-1-6654-3659-5
ISBN (Print)978-1-6654-3660-1
DOIs
Publication statusPublished - 2021
Publication typeA4 Article in conference proceedings
EventIEEE Conference on Decision and Control - Austin, United States
Duration: 14 Dec 202117 Dec 2021

Publication series

NameProceedings of the IEEE Conference on Decision & Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

ConferenceIEEE Conference on Decision and Control
Country/TerritoryUnited States
CityAustin
Period14/12/2117/12/21

Publication forum classification

  • Publication forum level 1

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