Cultivated Land Monitoring System Based on Dynamic Wake-Up UAV and Wireless of Distributed Storage

Zhang, Longqing; Bai, Liping; Zhang, Xinwei; Zhang, Yanghong; Yang, Lei; Yan, Xiangdu

doi:10.32604/cmc.2019.06062

Cited by 8 publications

(3 citation statements)

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“…In the current research on UAV attitudes, the data primarily originates from video image data captured during target monitoring, as exemplified by datasets such as the UAV123 Dataset ( Zhang et al., 2019 ) and VisDrone Dataset ( Mueller, Smith & Ghanem, 2016 ). Nonetheless, these datasets may not fully suffice to meet the study’s requirements.…”

Section: Experiments Detailsmentioning

confidence: 99%

Adaptive control for uncrewed aerial vehicles based on communication information optimization in complex environments

Wang,

Han,

Tayyaba

2024

PeerJ Computer Science

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The utilization of drone technology thrives in diverse domains, including aviation, military operations, and logistics. The pervasive adoption of this technology aims to enhance efficiency while mitigating hazards and expenditures. In complex contexts, the governing parameters of uncrewed aerial vehicles (UAV) require real-time adjustments for flight safety and efficacy. To improve the attitude estimation accuracy, this article introduces a ATT-Bi-LSTM framework for optimizing UAVs through adaptive parameter control, which integrates the state information gleaned from communication signals. The ATT-Bi-LSTM achieves data feature extraction by means of a two-layer Bidirectional Long Short-Term Memory (BI-LSTM) at its inception to enhance the feature. Subsequently, it harnesses the attention mechanism to amplify the LSTM network’s output, thereby enabling the optimal control of UAV positioning. During the empirical phase, we employ optical system data for the comparative validation of the model. The outcomes underscore the commendable performance of the proposed framework in this study, particularly with regard to the three pivotal position indicators: yaw, pitch, and roll. In the comparison of indicators such as RMSR and MAE, the proposed model has the lowest error, which provides algorithm support and important reference for future UAV optimization control research.

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Section: Experiments Detailsmentioning

confidence: 99%

Adaptive control for uncrewed aerial vehicles based on communication information optimization in complex environments

Wang,

Han,

Tayyaba

2024

PeerJ Computer Science

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“…The development era of drones and communication technologies are tremendously growing, where the various specialist service providers and equipment sellers are bringing constant flow of new advancements, such as network accessibility [ 8 ], offloading strategies [ 9 ], path planning [ 10 ], and various applications [ 11 , 12 , 13 ]. These enhancements go hand in hand with industrial advancements, such as in References [ 14 , 15 ].…”

Section: Related Workmentioning

confidence: 99%

Drone Secure Communication Protocol for Future Sensitive Applications in Military Zone

Kim

Duguma

et al. 2021

Sensors

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Unmanned Aerial Vehicle (UAV) plays a paramount role in various fields, such as military, aerospace, reconnaissance, agriculture, and many more. The development and implementation of these devices have become vital in terms of usability and reachability. Unfortunately, as they become widespread and their demand grows, they are becoming more and more vulnerable to several security attacks, including, but not limited to, jamming, information leakage, and spoofing. In order to cope with such attacks and security threats, a proper design of robust security protocols is indispensable. Although several pieces of research have been carried out with this regard, there are still research gaps, particularly concerning UAV-to-UAV secure communication, support for perfect forward secrecy, and provision of non-repudiation. Especially in a military scenario, it is essential to solve these gaps. In this paper, we studied the security prerequisites of the UAV communication protocol, specifically in the military setting. More importantly, a security protocol (with two sub-protocols), that serves in securing the communication between UAVs, and between a UAV and a Ground Control Station, is proposed. This protocol, apart from the common security requirements, achieves perfect forward secrecy and non-repudiation, which are essential to a secure military communication. The proposed protocol is formally and thoroughly verified by using the BAN-logic (Burrow-Abadi-Needham logic) and Scyther tool, followed by performance evaluation and implementation of the protocol on a real UAV. From the security and performance evaluation, it is indicated that the proposed protocol is superior compared to other related protocols while meeting confidentiality, integrity, mutual authentication, non-repudiation, perfect forward secrecy, perfect backward secrecy, response to DoS (Denial of Service) attacks, man-in-the-middle protection, and D2D (Drone-to-Drone) security.

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“…With the continuous development of the intelligent technology field, UAVs [1][2][3] and intelligent robots [4,5] have gradually entered all walks of life, and their scope of application includes agriculture [6,7], disaster relief [8], geological survey [9,10], military, and [11,12] transportation. However, in practical operation, it is not difficult to find that there are many problems with a single UAV.…”

Section: Introductionmentioning

confidence: 99%

Leader-Follower UAV Formation Model Based on R5DOS-Intersection Model

Li¹,

Zhang²,

Hu³

et al. 2021

Computers, Materials &Amp; Continua

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This paper proposes a formation of multiple unmanned aerial vehicles (UAVs) based on the R5DOS (RCC-5 and orientation direction) intersection model. After improving the R5DOS-intersection model, we evenly arranged 16 UAVs in 16 spatial regions. Compared with those of the rectangular formation model and the grid formation model, the communication costs, time costs, and energy costs of the R5DOS model formation were effectively reduced. At the same time, the operation time of UAV formation was significantly enhanced. The leader-follower method can enhance the robustness of the UAV formation and ensure the integrity of communication during UAV formation operation. Finally, we conducted a simulation experiment on the model and found that the R5DOS model formation was stable and could maintain the desired formation. The randomly generated UAVs could quickly fly to the formation path in a short time, establish formation, and carry out operations. When the leader fails, the follower could travel to the original trajectory of the failed leader in a short time, replace the leader, and continue to communicate and improve the robustness of the formation. To sum up, the UAV formation based on the R5DOS model has the advantages of long operation time, strong endurance, low communication cost, and stable formation, which is of great significance for research on UAV formation.

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Cultivated Land Monitoring System Based on Dynamic Wake-Up UAV and Wireless of Distributed Storage

Cited by 8 publications

References 0 publications

Adaptive control for uncrewed aerial vehicles based on communication information optimization in complex environments

Adaptive control for uncrewed aerial vehicles based on communication information optimization in complex environments

Drone Secure Communication Protocol for Future Sensitive Applications in Military Zone

Leader-Follower UAV Formation Model Based on R5DOS-Intersection Model

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