## Abstract

Multi-Agent networks are often modeled as interaction graphs, where the nodes represent the agents and the edges denote some direct interactions. The robustness of a multi-Agent network to perturbations such as failures, noise, or malicious attacks largely depends on the corresponding graph. In many applications, networks are desired to have well-connected interaction graphs with relatively small number of links. One family of such graphs is the random regular graphs. In this paper, we present a decentralized scheme for transforming any connected interaction graph with a possibly non-integer average degree of k into a connected random m-regular graph for some m ϵ [k+k ] 2. Accordingly, the agents improve the robustness of the network while maintaining a similar number of links as the initial configuration by locally adding or removing some edges.

Original language | English (US) |
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Article number | 7337422 |

Pages (from-to) | 139-151 |

Number of pages | 13 |

Journal | IEEE Transactions on Network Science and Engineering |

Volume | 2 |

Issue number | 4 |

DOIs | |

State | Published - 2015 |

Externally published | Yes |

## Keywords

- Multi-Agent systems
- robust networks
- self-organization

## ASJC Scopus subject areas

- Control and Systems Engineering
- Computer Science Applications
- Computer Networks and Communications