2014
DOI: 10.1016/j.cja.2014.02.011
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Optimization of beamforming and path planning for UAV-assisted wireless relay networks

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Cited by 32 publications
(26 citation statements)
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“…The authors provide a novel data dissemination approach by applying fire fly optimization algorithm to provide energy efficient relaying. They show that the proposed network scheme provides steady connectivity, better sensor network operational duration, and enhanced coverage [25]. also studies on UAV-aided wireless relay networking.…”
mentioning
confidence: 94%
“…The authors provide a novel data dissemination approach by applying fire fly optimization algorithm to provide energy efficient relaying. They show that the proposed network scheme provides steady connectivity, better sensor network operational duration, and enhanced coverage [25]. also studies on UAV-aided wireless relay networking.…”
mentioning
confidence: 94%
“…As ANs move, RNs need to move as well and it is desirable to move them a minimum amount to re-establish the topology as quickly as possible, e.g., we should determine the instantaneous speeds of all RNs during the run time to maintain the network a specified level of connectivity with a minimum total movement of existing RNs. OUYANG et al [13] proposed an optimal design for UAV path planning to guarantee the connectivity in the scenario where a UAV is used as relay between a mobile access point and a fixed base station. However, the proposed method [13] cannot guarantee a certain level connectivity for a network formed by multiple mobile terminal nodes.…”
Section: Introductionmentioning
confidence: 99%
“…OUYANG et al [13] proposed an optimal design for UAV path planning to guarantee the connectivity in the scenario where a UAV is used as relay between a mobile access point and a fixed base station. However, the proposed method [13] cannot guarantee a certain level connectivity for a network formed by multiple mobile terminal nodes.…”
Section: Introductionmentioning
confidence: 99%
“…Under the condition of modern information warfare, unmanned aerial vehicles (UAVs) possessing the capacity of situation awareness, independent decision-making and cooperative attack, have been widely used. UAVs can take the advantage of agile and flexible tactics, strong continuous combat capacity and low life cycle cost, to complete combat mission under the extreme miserable combat environment [1]. However, because the intelligent level of UAVs is not high, it is hard for UAVs to cope with the battlefield environment with high uncertainty and strong emergent.…”
Section: Introductionmentioning
confidence: 99%