Please use this identifier to cite or link to this item:
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 |
Issue Date: | Mar-2021 |
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, 10 (1), Art. No.: 8. https://doi.org/10.3390/jsan10010008 |
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 |
DOI Link: | 10.3390/jsan10010008 |
Rights: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
Files in This Item:
File | Description | Size | Format | |
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jsan-10-00008-v3.pdf | Fulltext - Published Version | 1.12 MB | Adobe PDF | View/Open |
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