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http://hdl.handle.net/1893/32209| Appears in Collections: | Computing Science and Mathematics Journal Articles |
| Peer Review Status: | Refereed |
| Title: | MANET performance optimization using network-based criteria and unmanned aerial vehicles |
| Author(s): | Gromova, Ekaterina Kireev, Sergei Lazareva, Alina Kirpichnikova, Anna Gromov, Dmitry |
| Contact Email: | anna.kirpichnikova@stir.ac.uk |
| Keywords: | MANET WANET PageRank Centrality Measures Complex Networks 9 |
| Date Deposited: | 25-Jan-2021 |
| Citation: | Gromova E, Kireev S, Lazareva A, Kirpichnikova A & Gromov D (2021) MANET performance optimization using network-based criteria and unmanned aerial vehicles. Journal of Sensor and Actuator Networks. https://www.mdpi.com/journal/jsan |
| Abstract: | In this contribution we consider the problem of optimal drone positioning for improving the 1 operation of a mobile ad hoc network. We build upon our previous results devoted to the application 2 of game-theoretic methods for computing optimal strategies. One specific problem that arises in this 3 context is that the optimal solution cannot be uniquely determined. In this case, one has to use some 4 other criteria to choose the best (in some sense) of all optimal solutions. It is argued that centrality 5 measures as well as node ranking can provide a good criterion for the selection of a unique solution. 6 We showed that for two specific networks most criteria yielded the same solution thus demonstrating 7 good coherence in their predictions. 8 |
| URL: | https://www.mdpi.com/journal/jsan |
| Rights: | © 2021 by the authors. Submitted to Journal of Sensor and Actuator Networks for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
| Notes: | Output Status: Forthcoming |
| Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
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| MANET_performance_optimization_using_network_based_criteria_and_unmanned_aerial_vehicles.pdf | Fulltext - Accepted Version | 394.41 kB | Adobe PDF | Under Embargo until 2023-01-25 Request a copy |
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