TY - GEN

T1 - The Strategic Placement of Mobile Agents on a Hexagonal Graph using Game Theory

AU - Plekhanova, Taisiia

AU - Gromova, Ekaterina

AU - Gromov, Dmitry

AU - Blakeway, Stewart

AU - Kirpichnikova, Anna

PY - 2017

Y1 - 2017

N2 - This paper considers an application of Dynamic Game Theory with the goal of increasing the performance of a Mobile Ad Hoc Network in relation to increasing packet delivery ratio and reducing end-to-end delay by the strategic placement of drones. A multi-stage sequential game of two players, each with one drone is played out in a scenario depicted by a hexagonal graph, obstacles such as forests are also included. The algorithm for the game has been implemented in JavaScript and the results show that the best strategic locations of the placement of the drones can be established during the sequential moves of the players. Results also show that the Nash Equilibrium is achieved during play.

AB - This paper considers an application of Dynamic Game Theory with the goal of increasing the performance of a Mobile Ad Hoc Network in relation to increasing packet delivery ratio and reducing end-to-end delay by the strategic placement of drones. A multi-stage sequential game of two players, each with one drone is played out in a scenario depicted by a hexagonal graph, obstacles such as forests are also included. The algorithm for the game has been implemented in JavaScript and the results show that the best strategic locations of the placement of the drones can be established during the sequential moves of the players. Results also show that the Nash Equilibrium is achieved during play.

KW - MANET

KW - Game Theory

KW - Nash Equilibria

KW - Drone

U2 - 10.1109/ICAT.2017.8171635

DO - 10.1109/ICAT.2017.8171635

M3 - статья в сборнике материалов конференции

BT - 2017 XXVI INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND AUTOMATION TECHNOLOGIES (ICAT)

PB - IEEE Canada

Y2 - 26 October 2017 through 28 October 2017

ER -