Name
Abstract | ||
|---|---|---|
We propose a distributed iterative algorithm in which a group of n autonomous agents self-organize the structure of their communication network in order to control the network's Laplacian eigenvalue spectrum. We assume that every agent has only access to a local (“myopic”) view of the network around it and that there is no centralized coordinator. With every iteration of our algorithm, the agents ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCNS.2016.2544249 | IEEE Transactions on Control of Network Systems |
Keywords | Field | DocType |
Eigenvalues and eigenfunctions,Laplace equations,Symmetric matrices,Control systems,Autonomous agents,Distributed algorithms,Iterative methods | Mathematical optimization,Autonomous agent,Telecommunications network,Network planning and design,Pseudometric space,Iterative method,Distributed algorithm,Eigenvalues and eigenvectors,Mathematics,Laplace operator | Journal |
Volume | Issue | ISSN |
4 | 3 | 2325-5870 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Victor M. Preciado | 1 | 205 | 29.44 |
| Michael M. Zavlanos | 2 | 561 | 49.72 |