Location Prediction and Trajectory Optimization in Multi-UAV Application Missions

Singh, Rounak; Qu, Chengyi; Morel, Alicia Esquivel; Calyam, Prasad

doi:10.1007/978-981-19-1292-4_5

Cited by 3 publications

(1 citation statement)

References 64 publications

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“…In general, UAV trajectory design and path planning are essential for FANET performance optimization, but they are highly dependent on various application requirements. As a result, different applicationoriented trajectory optimizations have been proposed in the existing literature, like the models in [108]- [113].…”

Section: Role-based Connectivity and Trajectory Managementmentioning

confidence: 99%

Non-Terrestrial Networks with UAVs:A Projection on Flying Ad-Hoc Networks

Homssi¹,

Krishnan²,

Park³

et al. 2022

Preprint

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Section: Role-based Connectivity and Trajectory Managementmentioning

confidence: 99%

Non-Terrestrial Networks with UAVs:A Projection on Flying Ad-Hoc Networks

Homssi¹,

Krishnan²,

Park³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks

Homssi¹,

Krishnan²,

Park³

et al. 2022

Drones

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Non-terrestrial networks (NTNs) have recently attracted elevated levels of interest in large-scale and ever-growing wireless communication networks through the utilization of flying objects, e.g., satellites and unmanned aerial vehicles/drones (UAVs). Interestingly, the applications of UAV-assisted networks are rapidly becoming an integral part of future communication services. This paper first overviews the key components of NTN while highlighting the significance of emerging UAV networks where for example, a group of UAVs can be used as nodes to exchange data packets and form a flying ad hoc network (FANET). In addition, both existing and emerging applications of the FANET are explored. Next, it provides key recent findings and the state-of-the-art of FANETs while examining various routing protocols based on cross-layer modeling. Moreover, a modeling perspective of FANETs is provided considering delay-tolerant networks (DTN) because of the intermittent nature of connectivity in low-density FANETs, where each node (or UAV) can perform store-carry-and-forward (SCF) operations. Indeed, we provide a case study of a UAV network as a DTN, referred to as DTN-assisted FANET. Furthermore, applications of machine learning (ML) in FANET are discussed. This paper ultimately foresees future research paths and problems for allowing FANET in forthcoming wireless communication networks.

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Holistic Review of UAV-Centric Situational Awareness: Applications, Limitations, and Algorithmic Challenges

MahmoudZadeh,

Yazdani,

Kalantari

et al. 2024

Robotics

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This paper presents a comprehensive survey of UAV-centric situational awareness (SA), delineating its applications, limitations, and underlying algorithmic challenges. It highlights the pivotal role of advanced algorithmic and strategic insights, including sensor integration, robust communication frameworks, and sophisticated data processing methodologies. The paper critically analyzes multifaceted challenges such as real-time data processing demands, adaptability in dynamic environments, and complexities introduced by advanced AI and machine learning techniques. Key contributions include a detailed exploration of UAV-centric SA’s transformative potential in industries such as precision agriculture, disaster management, and urban infrastructure monitoring, supported by case studies. In addition, the paper delves into algorithmic approaches for path planning and control, as well as strategies for multi-agent cooperative SA, addressing their respective challenges and future directions. Moreover, this paper discusses forthcoming technological advancements, such as energy-efficient AI solutions, aimed at overcoming current limitations. This holistic review provides valuable insights into the UAV-centric SA, establishing a foundation for future research and practical applications in this domain.

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Location Prediction and Trajectory Optimization in Multi-UAV Application Missions

Cited by 3 publications

References 64 publications

Non-Terrestrial Networks with UAVs:A Projection on Flying Ad-Hoc Networks

Non-Terrestrial Networks with UAVs:A Projection on Flying Ad-Hoc Networks

Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks

Holistic Review of UAV-Centric Situational Awareness: Applications, Limitations, and Algorithmic Challenges

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