Distributed Algorithms for Verifying and Ensuring Strong Connectivity of Directed Networks




Atman, Made Widhi Surya; Gusrialdi, Azwirman

PublisherIEEE

2021

IEEE Conference on Decision and Control

2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC)

Proceedings of the IEEE Conference on Decision and Control

2021-December

4798

4803

25762370 07431546

2576-2370

DOIhttps://doi.org/10.1109/CDC45484.2021.9683729

https://doi.org/10.1109/cdc45484.2021.9683729



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.



Last updated on 2025-18-08 at 04:48