Enclosing and monitoring of disaster area boundary using multi-UAV network

Joshi, Abhishek; Dhongdi, Sarang C.; Dharmadhikari, Mihir; Mehta, Ojit; Anupama, K. R.

doi:10.1007/s12652-022-03757-5

Cited by 12 publications

(5 citation statements)

References 24 publications

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“…In recent years, three main strategies have been used to achieve drone swarms’ persistent surveillance [ 8 , 11 , 12 , 13 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ]: (i) on-duty UAV replacement scheme based on recharging stations [ 13 , 19 , 25 ]; (ii) energy-efficiency path planning [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ]; and (iii) novel structures of UAV teaming [ 8 , 11 , 18 , 22 ]. UAV distribution’s hierarchical architecture helps plan efficient and adaptive surveillance missions when the surveillance map changes due to weather or invisible factors.…”

Section: System Model and Problem Statementmentioning

confidence: 99%

“…With the popularity of FANET technology, it has received much research interest in numerous practical applications [ 10 , 11 , 12 , 13 ]. To realize remote command and situational awareness, the authors in [ 10 ] constructed a cooperative monitoring network consisting of multiple UAVs and ground stations.…”

Section: Introductionmentioning

confidence: 99%

“…A multi-relay UAV selection scheme based on fuzzy optimization is developed to realize the tradeoff between surveillance performance and connectivity maintenance. The articles [ 11 , 12 ] focus on the application of FANETs in disaster relief. In [ 11 ], Joshi et al deal with the continuous sensing and monitoring of the geographical location of a specific disaster event.…”

Section: Introductionmentioning

confidence: 99%

“…The articles [ 11 , 12 ] focus on the application of FANETs in disaster relief. In [ 11 ], Joshi et al deal with the continuous sensing and monitoring of the geographical location of a specific disaster event. Their paper introduces and demonstrates various protocol stacks.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Low Complexity Persistent Reconnaissance Algorithm for FANET

Guo

Tang

Qin

2022

Sensors

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In recent years, with the rapid progress of unmanned aerial vehicle (UAV) technology, UAV-based systems have been widely used in both civilian and military applications. Researchers have proposed various network architectures and routing protocols to address the network connectivity problems associated with the high mobility of UAVs, and have achieved considerable results in a flying ad hoc network (FANET). Although scholars have noted various threats to UAVs in practical applications, such as local magnetic field variation, acoustic interference, and radio signal hijacking, few studies have taken into account the dynamic nature of these threat factors. Moreover, the UAVs’ high mobility combined with dynamic threats makes it more challenging to ensure connectivity while adapting to ever-changing scenarios. In this context, this paper introduces the concept of threat probability density function (threat PDF) and proposes a particle swarm optimization (PSO)-based threat avoidance and reconnaissance FANET construction algorithm (TARFC), which enables UAVs to dynamically adapt to avoid high-risk areas while maintaining FANET connectivity. Inspired by the graph editing distance, the total edit distance (TED) is defined to describe the alterations of the FANET and threat factors over time. Based on TED, a dynamic threat avoidance and continuous reconnaissance FANET operation algorithm (TA&CRFO) is proposed to realize semi-distributed control of the network. Simulation results show that both TARFC and TA&CRFO are effective in maintaining network connectivity and avoiding threats in dynamic scenarios. The average threat value of UAVs using TARFC and TA&CRFO is reduced by 3.99~27.51% and 3.07~26.63%, respectively, compared with the PSO algorithm. In addition, with limited distributed moderation, the complexity of the TA&CRFO algorithm is only 20.08% of that of TARFC.

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Section: System Model and Problem Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Low Complexity Persistent Reconnaissance Algorithm for FANET

Guo

Tang

Qin

2022

Sensors

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“…The value of UAVs lies in their ability to form aerial platforms that can be used to extend the range of applications by integrating a variety of equipment. UAVs can replace human labor in high-altitude operations in various areas such as logistics delivery [1,2], agricultural plant protection [3,4], forest management [5,6], power patrols [7,8], displacement monitoring [9,10], disaster monitoring [11,12], disaster rescue [13,14], traffic analysis [15,16], railway inspections [17,18], and so on.…”

Section: Introductionmentioning

confidence: 99%

Disturbance Observer and Adaptive Control for Disturbance Rejection of Quadrotor: A Survey

Wang,

Shen

2024

Actuators

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Quadrotors are widely applied in many fields, but they often face various external disturbances in actual operation. This makes it necessary to design a controller that can handle disturbances. Disturbance observer and adaptive control techniques are commonly used disturbance rejection techniques, the core idea of which is to estimate the disturbances in real time and incorporate the estimated values into the controller to suppress the disturbances. In this paper, various disturbance observers and adaptive control techniques, including nonlinear disturbance observers, extended state observers, neural networks, and fuzzy logic systems, are introduced, along with their variants or different structures. These techniques improve the adaptability and robustness of quadrotors to complex environments. Finally, future research directions for the disturbance rejection of quadrotors are also presented.

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Integration of UAVs and FANETs in Disaster Management: A Review on Applications, Challenges and Future Directions

Abbas,

Abu Talib,

Ahmed

et al. 2024

Trans Emerging Tel Tech

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Rapid growth and technological improvement in wireless communication, driven by engineers from various disciplines, have reached significant milestones. Unmanned Aerial vehicles (UAVs) and flying ad hoc networks (FANET) have undergone one of the biggest innovations. UAVs have drawn a lot of attention from research institutions. They are increasingly employed in various application fields, such as real‐time monitoring, precision farming, wireless coverage, military surveillance, climate monitoring, disaster surveillance, and monitoring and rescue operations. The primary characteristics of disasters are their unpredictability and the scarcity of resources in the affected areas. To reduce the loss of lives and livelihoods, disaster management has received much attention. Numerous methodologies and technologies have been developed to predict and handle disasters. UAVs are increasingly being used in disaster management. Additionally, artificial intelligence and collaborative machine learning techniques are gaining prominence among researchers, who are investigating the possibility of their use in disaster management tasks to better cope with the severe and frequently devastating effects of natural catastrophes. This paper provides a review of the relevant FANET research activities in disaster management and emerging artificial intelligence techniques, along with several observations and research challenges. The papers are categorized based on the disaster scenario‐related problems and their proposed solutions. FANET problems are receiving less attention from the research community, and the main challenges with FANETs are also highlighted. Finally, significant insights are presented that can aid in improving research related to the application of FANETs in disaster management.

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Enclosing and monitoring of disaster area boundary using multi-UAV network

Cited by 12 publications

References 24 publications

A Low Complexity Persistent Reconnaissance Algorithm for FANET

A Low Complexity Persistent Reconnaissance Algorithm for FANET

Disturbance Observer and Adaptive Control for Disturbance Rejection of Quadrotor: A Survey

Integration of UAVs and FANETs in Disaster Management: A Review on Applications, Challenges and Future Directions

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