Altitude Optimization for DF Relaying Trajectory of UAV in Cooperative FANET

Agarwal, Anirudh; Mishra, Deepak

doi:10.1109/globecom42002.2020.9322461

Cited by 11 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, [12] jointly optimized the bandwidth, transmission power, transmission rate, and UAV's position for maximizing the system throughput. Moreover, the authors in [13] optimized the UAV's altitude by considering the problem of minimizing the network outage probability.…”

Section: A State-of-the-artmentioning

confidence: 99%

“…In this case, rotary-wing UAVs provide a number of advantages over a fixed-wing UAV, including better maneuverability, payload capacity, and cost-effective design. Furthermore, the authors in [12], [13] considered only one rotary-wing UAV to serve the single and multiple communication pairs on the ground, respectively, while neglecting the multi-hop communication among the UAVs. Similarly, [15] considered the multi-hop single link and multiple dual-hop links between transmitter and receiver but did not consider the multi-hop multi-link to determine the system's performance.…”

Section: B Research Gap and Motivationmentioning

confidence: 99%

See 1 more Smart Citation

Power-efficient Joint Link Selection and Multi-hop Routing for Throughput Maximization in UAV Assisted FANETs

Mittal¹,

Shah²,

Agarwal³

2022

Preprint

Self Cite

View full text Add to dashboard Cite

This paper considers a multi-UAV network with a ground station (GS) that uses multi-hop relaying structure for data transmission in a power-efficient manner. The objective is to investigate the best possible multi-hop routing structure for data transmission to maximize the overall network throughput of a flying ad-hoc network (FANET) of UAVs. We formulate a problem to jointly optimize the multi-hop routing structure with the communication link selection for a given power budget so that the overall network throughput can be maximized. It appears that the formulated problem belongs to a class of nonconvex and integer optimization problems, thus making it NP-hard. To solve this problem efficiently, it is decoupled into two subproblems i) power allocation with known Bellman Fordbased multi-hop routing structure and ii) link selection problem. Further, these two subproblems are independently converted into convex problems by relaxation and solved in tandem for the best suboptimal solution to the main problem. Simulation results indicate that the proposed multi-hop routing schemes can achieve a significant improvement in network throughput compared to the other benchmark scheme.

show abstract

Section: A State-of-the-artmentioning

confidence: 99%

Section: B Research Gap and Motivationmentioning

confidence: 99%

Power-efficient Joint Link Selection and Multi-hop Routing for Throughput Maximization in UAV Assisted FANETs

Mittal¹,

Shah²,

Agarwal³

2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, it demands a kind of application-oriented trajectory optimization for FANETs. Hence, [105], [106] proposed altitude optimization models while [45], [46], [107] focused on general trajectory optimization approaches for UAVs in FANETs. In general, UAV trajectory design and path planning are essential for FANET performance optimization, but they are highly dependent on various application requirements.…”

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

“…The work in [ 25 ] mainly focused on optimizing flying altitude and the number of UAVs to minimize a total power consumption. The altitude optimization problem of UAV based ad-hoc network was considered through minimizing the average network outage probability in [ 26 ]. For mixed radio frequency and underwater optical communication system, the authors determined an optimal altitude of the UAV by minimizing the system outage probability in [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Altitude Optimization and Task Allocation of UAV-Assisted MEC Communication System

Huang

Zhang

2022

Sensors

View full text Add to dashboard Cite

Unmanned aerial vehicles (UAVs) are widely used in wireless communication systems due to their flexible mobility and high maneuverability. The combination of UAVs and mobile edge computing (MEC) is regarded as a promising technology to provide high-quality computing services for latency-sensitive applications. In this paper, a novel UAV-assisted MEC uplink maritime communication system is proposed, where an MEC server is equipped on UAV to provide flexible assistance to maritime user. In particular, the task of user can be divided into two parts: one portion is offloaded to UAV and the remaining portion is offloaded to onshore base station for computing. We formulate an optimization problem to minimize the total system latency by designing the optimal flying altitude of UAV and the optimal task allocation ratio. We derive a semi closed-form expression of the optimal flying altitude of UAV and a closed-form expression of the optimal task allocation ratio. Simulation results demonstrate the precision of the theoretical analyses and show some interesting insights.

show abstract

Altitude Optimization for DF Relaying Trajectory of UAV in Cooperative FANET

Cited by 11 publications

References 13 publications

Power-efficient Joint Link Selection and Multi-hop Routing for Throughput Maximization in UAV Assisted FANETs

Power-efficient Joint Link Selection and Multi-hop Routing for Throughput Maximization in UAV Assisted FANETs

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

Altitude Optimization and Task Allocation of UAV-Assisted MEC Communication System

Contact Info

Product

Resources

About