Graph Theoretic Modeling and Energy Analysis of Wireless Telemetry Networks
| dc.contributor.advisor | Cetinkaya, Egemen K. | en |
| dc.contributor.advisor | Kosbar, Kurt | en |
| dc.contributor.author | Shatto, Tristan A. | |
| dc.date.accessioned | 2018-03-02T22:55:34Z | |
| dc.date.available | 2018-03-02T22:55:34Z | |
| dc.date.issued | 2017-10 | |
| dc.identifier.issn | 0884-5123 | |
| dc.identifier.issn | 0074-9079 | |
| dc.identifier.uri | http://hdl.handle.net/10150/626977 | |
| dc.description.abstract | Network science provides essential tools to model and analyze topology and structure of dynamic wireless telemetry networks. In this paper, we model wireless telemetry networks using three well-known graph models: Gilbert random graph, Erdos-Renyi random graph, and random geometric graph models. Next, we analyze the connectivity of synthetically generated topologies using graph energy, which is the sum of absolute values of eigenvalues. Our results indicate second-order curves for adjacency and Laplacian energies as the connectivity of synthetically generated networks improve. The normalized Laplacian energy decreases, converging to the theoretical lower bound as the connectivity reaches to a maximum. | |
| dc.description.sponsorship | International Foundation for Telemetering | en |
| dc.language.iso | en_US | en |
| dc.publisher | International Foundation for Telemetering | en |
| dc.relation.url | http://www.telemetry.org/ | en |
| dc.rights | Copyright © held by the author; distribution rights International Foundation for Telemetering | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.title | Graph Theoretic Modeling and Energy Analysis of Wireless Telemetry Networks | en_US |
| dc.type | text | en |
| dc.type | Proceedings | en |
| dc.contributor.department | Telemetry Learning Center Department of Electrical and Computer Engineering, Missouri University of Science and Technology | en |
| dc.identifier.journal | International Telemetering Conference Proceedings | en |
| dc.description.collectioninformation | Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection. | |
| refterms.dateFOA | 2018-05-17T23:29:29Z | |
| html.description.abstract | Network science provides essential tools to model and analyze topology and structure of dynamic wireless telemetry networks. In this paper, we model wireless telemetry networks using three well-known graph models: Gilbert random graph, Erdos-Renyi random graph, and random geometric graph models. Next, we analyze the connectivity of synthetically generated topologies using graph energy, which is the sum of absolute values of eigenvalues. Our results indicate second-order curves for adjacency and Laplacian energies as the connectivity of synthetically generated networks improve. The normalized Laplacian energy decreases, converging to the theoretical lower bound as the connectivity reaches to a maximum. |
