MANET Performance Optimization Using Network-Based Criteria and Unmanned Aerial Vehicles

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MANET Performance Optimization Using Network-Based Criteria and Unmanned Aerial Vehicles. / Gromova, Ekaterina V. ; Kireev, Sergei ; Lazareva, Alina ; Kirpichnikova, Anna; Gromov, Dmitry .

In: Journal of Sensor and Actuator Networks, Vol. 10, No. 1, 8, 03.2021.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{1d97bb841f3643efbbd8180495064bd6,

title = "MANET Performance Optimization Using Network-Based Criteria and Unmanned Aerial Vehicles",

abstract = "In this contribution we consider the problem of optimal drone positioning for improving the operation of a mobile ad hoc network. We build upon our previous results devoted to the application of game-theoretic methods for computing optimal strategies. One specific problem that arises in this context is that the optimal solution cannot be uniquely determined. In this case, one has to use some other criteria to choose the best (in some sense) of all optimal solutions. It is argued that centrality measures as well as node ranking can provide a good criterion for the selection of a unique solution. We showed that for two specific networks most criteria yielded the same solution, thus demonstrating good coherence in their predictions.",

keywords = "Centrality measures, Complex networks, MANET, PageRank, WANET, centrality measures, complex networks",

author = "Gromova, {Ekaterina V.} and Sergei Kireev and Alina Lazareva and Anna Kirpichnikova and Dmitry Gromov",

year = "2021",

month = mar,

doi = "10.3390/jsan10010008",

language = "English",

volume = "10",

journal = "Journal of Sensor and Actuator Networks",

issn = "2224-2708",

publisher = "MDPI AG",

number = "1",

}

RIS

TY - JOUR

T1 - MANET Performance Optimization Using Network-Based Criteria and Unmanned Aerial Vehicles

AU - Gromova, Ekaterina V.

AU - Kireev, Sergei

AU - Lazareva, Alina

AU - Kirpichnikova, Anna

AU - Gromov, Dmitry

PY - 2021/3

Y1 - 2021/3

N2 - In this contribution we consider the problem of optimal drone positioning for improving the operation of a mobile ad hoc network. We build upon our previous results devoted to the application of game-theoretic methods for computing optimal strategies. One specific problem that arises in this context is that the optimal solution cannot be uniquely determined. In this case, one has to use some other criteria to choose the best (in some sense) of all optimal solutions. It is argued that centrality measures as well as node ranking can provide a good criterion for the selection of a unique solution. We showed that for two specific networks most criteria yielded the same solution, thus demonstrating good coherence in their predictions.

AB - In this contribution we consider the problem of optimal drone positioning for improving the operation of a mobile ad hoc network. We build upon our previous results devoted to the application of game-theoretic methods for computing optimal strategies. One specific problem that arises in this context is that the optimal solution cannot be uniquely determined. In this case, one has to use some other criteria to choose the best (in some sense) of all optimal solutions. It is argued that centrality measures as well as node ranking can provide a good criterion for the selection of a unique solution. We showed that for two specific networks most criteria yielded the same solution, thus demonstrating good coherence in their predictions.

KW - Centrality measures

KW - Complex networks

KW - MANET

KW - PageRank

KW - WANET

KW - centrality measures

KW - complex networks

UR - http://www.scopus.com/inward/record.url?scp=85107978288&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/f39612f3-e077-308e-af8c-770a3d54bb15/

U2 - 10.3390/jsan10010008

DO - 10.3390/jsan10010008

M3 - Article

AN - SCOPUS:85107978288

VL - 10

JO - Journal of Sensor and Actuator Networks

JF - Journal of Sensor and Actuator Networks

SN - 2224-2708

IS - 1

M1 - 8

ER -

ID: 74736197