This study proposes a flight algorithm for delaytolerant networks using unmanned aerial vehicles (UAVs) that cooperatively serve users on the ground. Information from a ground user is relayed across UAVs in a store-an...
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ISBN:
(纸本)9781665497343
This study proposes a flight algorithm for delaytolerant networks using unmanned aerial vehicles (UAVs) that cooperatively serve users on the ground. Information from a ground user is relayed across UAVs in a store-and-forward manner before transferring to another user. The network performance considerably depends on how UAVs move because of this feature. In this study, two types of intermittent communication between UAVs and between a UAV and a user are jointly considered to a varying degree in the UAV operation. The measure and optimization problem for UAVs to move are devised, and this measure is heuristically maximized. Simulation results demonstrated the effectiveness of the proposed algorithm in terms of information delivery with certain insights in the UAV movement based on UAV-to-user and UAV-to-UAV communication concepts.
In this paper, a wireless communication network that uses unmanned aerial vehicles (UAVs) in the sky to transmit information between ground users is considered. We highlight a delay-tolerant network, where information...
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In this paper, a wireless communication network that uses unmanned aerial vehicles (UAVs) in the sky to transmit information between ground users is considered. We highlight a delay-tolerant network, where information is relayed in a store-and-forward fashion by establishing two types of intermittent communication links: between a UAV and a user (UAV-to-user) and between UAVs (UAV-to-UAV). Thus, a flight algorithm that controls the movement of the UAVs is crucial in achieving rapid information transmission. Our study proposes new flight algorithms that simultaneously consider the two types of communication links. In UAV-to-UAV links, the direct information transmission between two UAVs and the indirect transmission through other UAVs are considered separately. The movement of the UAVs is controlled by solving an optimization problem at certain time intervals, with a variable consideration ratio of the two types of links. In addition, we investigate not only the case where all UAVs move cooperatively but also the case where each UAV moves autonomously. Simulation results show that the proposed algorithms are effective. Moreover, they indicate the existence of an optimal consideration ratio of the two types of communication and demonstrate that our approach enables the control of frequencies of establishing the communication links. We conclude that increasing the frequency of indirect communication between UAVs improves network performance.
Recently, unmanned aerial vehicles (UAVs) have shown themselves promising in various applications at disaster sites because they can move through the sites easily and are not hindered by topography. The purpose of our...
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ISBN:
(纸本)9781538677599
Recently, unmanned aerial vehicles (UAVs) have shown themselves promising in various applications at disaster sites because they can move through the sites easily and are not hindered by topography. The purpose of our study is to develop a path-planning algorithm for the position-estimation systems of UAVs to search for survivors. To achieve this aim, this study clarifies the basic characteristics of the algorithm in a real environment. In this study, we considered the necessary conditions for a UAV's path-planning algorithm, proposed an algorithm based on probe request information, and evaluated the algorithm in a real environment under various conditions. We showed that the algorithm was suitable for approaching a target object and demonstrated the potential of the proposed algorithm to search for survivors at disaster sites.
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