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Boosting Cooperative Game with Complete Information in Multi-UAV Mesh Router Networks

机译:在多UAV网状路由器网络中促进合作游戏

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It is an inspiring way to provide emergence communication services in natural disaster areas by deploying wireless routers on the ground and multiple unmanned aerial vehicles (UAVs) in the air. The wireless routers serve as access points. UAVs relay data from routers and themselves to a remote base station in a safe place. Thus, people can communicate with others outside the disaster. The network lifetime is restricted to battery lifetime of routers which are scattered over a complex post-disaster area. There is a potential to prolong the network lifetime by utilizing UAV mobility. We consider the trajectory planning of UAVs with the goal of maximizing the network lifetime, which is modeled as a cooperative game with complete information. However, the time complexity of the problem increases exponentially with the number of UAVs as well as UAV candidate strategies. In our proposal, we boost the game process by excluding some of candidates from the strategy space for each UAV. Specifically, there is no influence for a given UAV, taking the strategies excluded, over the other UAVs. In addition, these strategies are dominated by another strategy at least. Our proposed model is verified through simulations that show its advantage on time complexity over others.
机译:这是一个鼓舞人心的方式部署在空气中的地面和多无人飞行器(UAV)无线路由器提供自然灾害地区出现通信服务。无线路由器作为接入点。无人机在安全的地方中继从路由器和本身的数据到远程基站。因此,人们可以与他人灾难外界连通。网络的生命周期仅限于被分散在一个复杂的后灾区路由器的电池寿命。还有就是利用无人机机动性延长网络寿命的潜力。我们认为无人机的轨迹规划与网络的生命周期,这是建模为具有完整信息的合作博弈最大化的目标。然而,问题的时间复杂度与无人机的数量以及UAV候选策略成倍增加。在我们的建议,我们排除了一些从每个UAV的战略空间候选的提高游戏的进程。具体来说,对于一个给定的无人机没有影响,采取排除,在其他无人机的策略。此外,这些策略是通过另一种策略至少占主导地位。我们提出的模型是通过模拟,显示上的时间比别人复杂性的优势验证。

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