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Main Authors: Ishat-E-Rabban, Md, Shi, Guangyao, Tokekar, Pratap
Format: Preprint
Published: 2020
Subjects:
Online Access:https://arxiv.org/abs/2011.00685
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author Ishat-E-Rabban, Md
Shi, Guangyao
Tokekar, Pratap
author_facet Ishat-E-Rabban, Md
Shi, Guangyao
Tokekar, Pratap
contents Maintaining a robust communication network plays an important role in the success of a multi-robot team jointly performing an optimization task. A key characteristic of a robust multi-robot system is the ability to repair the communication topology itself in the case of robot failure. In this paper, we focus on the Fast Biconnectivity Restoration (FBR) problem, which aims to repair a connected network to make it biconnected as fast as possible, where a biconnected network is a communication topology that cannot be disconnected by removing one node. We develop a Quadratically Constrained Program (QCP) formulation of the FBR problem, which provides a way to optimally solve the problem. We also propose an approximation algorithm for the FBR problem based on graph theory. By conducting empirical studies, we demonstrate that our proposed approximation algorithm performs close to the optimal while significantly outperforming the existing solutions.
format Preprint
id arxiv_https___arxiv_org_abs_2011_00685
institution arXiv
publishDate 2020
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spellingShingle Fast Biconnectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance
Ishat-E-Rabban, Md
Shi, Guangyao
Tokekar, Pratap
Robotics
Maintaining a robust communication network plays an important role in the success of a multi-robot team jointly performing an optimization task. A key characteristic of a robust multi-robot system is the ability to repair the communication topology itself in the case of robot failure. In this paper, we focus on the Fast Biconnectivity Restoration (FBR) problem, which aims to repair a connected network to make it biconnected as fast as possible, where a biconnected network is a communication topology that cannot be disconnected by removing one node. We develop a Quadratically Constrained Program (QCP) formulation of the FBR problem, which provides a way to optimally solve the problem. We also propose an approximation algorithm for the FBR problem based on graph theory. By conducting empirical studies, we demonstrate that our proposed approximation algorithm performs close to the optimal while significantly outperforming the existing solutions.
title Fast Biconnectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance
topic Robotics
url https://arxiv.org/abs/2011.00685