A Novel Hybrid Path Planning Algorithm for Localization in Wireless Networks

Rubina, Alina; Artemenko, Oleksandr; Andryeyev, Oleksandr; Mitschele‐Thiel, Andreas

doi:10.1145/3086439.3086441

Cited by 10 publications

(8 citation statements)

References 9 publications

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“…In general, the achieved localization accuracy is limited due to the relatively high shadowing that causes a rather high distance estimation error [117]. To overcome the high shadowing on the ground, UAVs as aerial anchors is introduced as a novel solution to localize ground devices [77,85,86]. In fact, UAV anchors are able to provide higher probability of LOS with ground UE and less shadowing effect as detailed in Section 3.1.1.…”

Section: Localization Services System Requirementsmentioning

confidence: 99%

Tutorial on UAVs: A Blue Sky View onWireless Communication

Vinogradov

Sallouha

Bast

et al. 2018

JMM

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The growing use of Unmanned Aerial Vehicles (UAVs) for various applications requires ubiquitous and reliable connectivity for safe control and data exchange between these devices and ground terminals. Depending on the application, UAV-mounted wireless equipment can either be an aerial user equipment (AUE) that co-exists with the terrestrial users, or it can be a part of wireless infrastructure providing a range of services to the ground users. For instance, AUE can be used for real-time search and rescue and/or video streaming (surveillance, broadcasting) and Aerial Base Station (ABS) can enhance coverage, capacity and energy efficiency of wireless networks. In both cases, UAV-based solutions are scalable, mobile, easy and fast to deploy. However, several technical challenges have to be addressed before such solutions will become widely used. In this work, we present a tutorial on wireless communication with UAVs, taking into account a wide range of potential applications. The main goal of this work is to provide a complete overview of the main scenarios (AUE and ABS), channel and performance models, compare them, and discuss open research points. This work is intended to serve as a tutorial for wireless communication with UAVs, which gives a comprehensive overview of the research done until now and depicts a comprehensive picture to foster new ideas and solutions while avoiding duplication of past work. We start by discussing the open challenges of

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Section: Localization Services System Requirementsmentioning

confidence: 99%

Tutorial on UAVs: A Blue Sky View onWireless Communication

Vinogradov

Sallouha

Bast

et al. 2018

JMM

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“…The localization error follows the same trend when it is averaged over LoS and NLoS using (8) as shown in Fig. 6.…”

Section: Case Study: Trajectories With 3 and 4 Waypointsmentioning

confidence: 60%

“…This is particularly important in urban areas where the shadowing effect is more severe and hence the localization accuracy drops remarkably. To address this issue, unmanned aerial vehicles (UAVs) deployed as aerial anchors is an emerging solution in order to localize ground devices [5]- [8]. The main benefits of UAV anchors are their higher probability of line-of-sight (LoS) with ground terminals and less shadowing effect at higher altitudes [9].…”

Section: A Motivationmentioning

confidence: 99%

“…The localization problem using terrestrial anchors (TAs) is well investigated in the literature [3], [4]. Moreover, several recent works addressed the case where aerial anchors such as UAVs are used for localizing terrestrial nodes (TNs) [5]- [8]. The path planning of a single mobile UAV for localizing TNs is addressed in [6] and [5].…”

Section: B Related Workmentioning

confidence: 99%

“…However, in both [6] and [5] round trip time is used for distance estimation which requires special waveforms and very reliable clock. Path planning when using RSS for localization is presented in [8]. A hybrid of static and adaptive paths is proposed to minimize the localization accuracy and the trajectory length.…”

Section: B Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Energy-Constrained UAV Trajectory Design for Ground Node Localization

Sallouha

Azari

Pollin

2018

2018 IEEE Global Communications Conference (GLOBECOM)

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The use of aerial anchors for localizing terrestrial nodes has recently been recognized as a cost-effective, swift and flexible solution for better localization accuracy, providing localization services when the GPS is jammed or satellite reception is not possible. In this paper, the localization of terrestrial nodes when using mobile unmanned aerial vehicles (UAVs) as aerial anchors is presented. We propose a novel framework to derive localization error in urban areas. In contrast to the existing works, our framework includes height-dependent UAV to ground channel characteristics and a highly detailed UAV energy consumption model. This enables us to explore different tradeoffs and optimize UAV trajectory for minimum localization error. In particular, we investigate the impact of UAV altitude, hovering time, number of waypoints and path length through formulating an energy-constrained optimization problem. Our results show that increasing the hovering time decreases the localization error considerably at the cost of a higher energy consumption. To keep the localization error below 100m, shorter hovering is only possible when the path altitude and radius are optimized. For a constant hovering time of 5 seconds, tuning both parameters to their optimal values brings the localization error from 150m down to 65m with a power saving around 25%.

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UAV-Assisted Wireless Localization for Search and Rescue

Atif

Ahmad

et al. 2021

IEEE Systems Journal

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A Novel Hybrid Path Planning Algorithm for Localization in Wireless Networks

Cited by 10 publications

References 9 publications

Tutorial on UAVs: A Blue Sky View onWireless Communication

Tutorial on UAVs: A Blue Sky View onWireless Communication

Energy-Constrained UAV Trajectory Design for Ground Node Localization

UAV-Assisted Wireless Localization for Search and Rescue

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