UAVNet: A mobile wireless mesh network using Unmanned Aerial Vehicles

Morgenthaler, Simon; Braun, Torsten; Zhao, Zhongliang; Staub, Thomas; Anwander, Markus

doi:10.1109/glocomw.2012.6477825

Cited by 103 publications

(59 citation statements)

References 8 publications

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“…Multi-UAV systems also turn out to be less expensive to acquire, maintain and operate than their larger counterparts. As shown through their experiments by Mergenthaler et al in [8], adding more UAVs to the network can relatively easily extend communication umbrella provided by a multi-UAV system. Missions are generally completed more speedily, efficiently and at lower cost with small UAV systems as compared to a single UAV system [9].…”

Section: Characterizing the Uav Networkmentioning

confidence: 99%

Survey of Important Issues in UAV Communication Networks

Gupta

Jain

Vaszkun

2016

IEEE Commun. Surv. Tutorials

1,798

859

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Abstract-Unmanned Aerial Vehicles (UAVs) have enormous potential in the public and civil domains. These are particularly useful in applications where human lives would otherwise be endangered. Multi-UAV systems can collaboratively complete missions more efficiently and economically as compared to single UAV systems. However, there are many issues to be resolved before effective use of UAVs can be made to provide stable and reliable context-specific networks. Much of the work carried out in the areas of Mobile Ad Hoc Networks (MANETs), and Vehicular Ad Hoc Networks (VANETs) does not address the unique characteristics of the UAV networks. UAV networks may vary from slow dynamic to dynamic; have intermittent links and fluid topology. While it is believed that ad hoc mesh network would be most suitable for UAV networks yet the architecture of multi-UAV networks has been an understudied area. Software Defined Networking (SDN) could facilitate flexible deployment and management of new services and help reduce cost, increase security and availability in networks. Routing demands of UAV networks go beyond the needs of MANETS and VANETS. Protocols are required that would adapt to high mobility, dynamic topology, intermittent links, power constraints and changing link quality. UAVs may fail and the network may get partitioned making delay and disruption tolerance an important design consideration. Limited life of the node and dynamicity of the network leads to the requirement of seamless handovers where researchers are looking at the work done in the areas of MANETs and VANETs, but the jury is still out. As energy supply on UAVs is limited, protocols in various layers should contribute towards greening of the network. This article surveys the work done towards all of these outstanding issues, relating to this new class of networks, so as to spur further research in these areas.Index Terms-Unmanned Aerial Vehicle, UAV, Multi-UAV Networks, ad hoc networks, communication networks, wireless mesh networks, software defined network, routing, seamless handover, energy efficiency I. INTRODUCTION A. The growing importance of UAV networksUnmanned Aerial Vehicles (UAVs) are an emerging The latter ones are proving to be quite useful in civilian applications. As described by Daniel and Wietfeld in [1] they are likely to become invaluable inclusions in the operations of police departments, fire brigades and other homeland security organizations in the near future. Besides, advances in electronics and sensor technology have widened the scope of UAV network applications [2] to include applications as diverse as traffic monitoring, wind estimation and remote sensing [3].In this context it would be relevant to mention that the current FAA guidelines allow a government public safety agency to operate unmanned aircraft weighing 4.4 pounds or less, within the line of sight of the operator; less than 400 feet above the ground; during daylight conditions; within Class G airspace; and outside of 5 statute miles from any airport, heliport, seapl...

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Section: Characterizing the Uav Networkmentioning

confidence: 99%

Survey of Important Issues in UAV Communication Networks

Gupta

Jain

Vaszkun

2016

IEEE Commun. Surv. Tutorials

1,798

859

View full text Add to dashboard Cite

show abstract

“…Moreover, in some applications like disaster recovery, the UAVs might not know the characteristics of the environment in advance, hence they should be able to self-place in order to maximize the coverage of the aerial network, while still keeping the connectivity with at least one other node. To address such goals, several distributed mobility schemes have been proposed, including also communication-aware approaches [9] [10]. In this paper, we focus on the STEM-NET algorithm [23] [22], which has been implemented within the CUSCUS framework; the evaluation results are presented in Section 5.…”

Section: Static Coveragementioning

confidence: 99%

“…As in the previous Section, we want to show the CUSCUS ability to model in detail the characteristics of a UAV, as for example the weight of the vehicle, and the impact on the application performance. Figure 14 shows the SI metric varying the virtual spring stiffness K, defined in Equation 10. The stiffness defines how strong the virtual force is, i.e.…”

Section: Coverage Scenario Analysismentioning

confidence: 99%

“…the Proportional, Integrative and Derivative terms of the controller) [8]. The merging of networking and control fields is a natural consequence of the above mentioned issues: several communicationaware mobility schemes have been proposed for fleet creation and management [9] [10]. Similarly, there exists plenty of communication protocols at the MAC, network and transport layers, which are specifically tailored to the UAVs scenarios, in order to cope with the dynamic topology and, at the same time, take maximum benefit from the self-placement capabilities of the nodes [11] [12].…”

Section: Introductionmentioning

confidence: 99%

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The CUSCUS simulator for distributed networked control systems: Architecture and use-cases

et al. 2018

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“…Aerial photogrammetry and close range photogrammetry projects involve similar processing steps to the 3D model generation (Morgenthaler, et al, 2012). These steps can be characterised as image acquisition, determining the interior and exterior orientation parameters of images, and automatic or manual extraction of geometric features of interest stages.…”

Section: Introductionmentioning

confidence: 99%

3d Model Generation From Uav: Historical Mosque (Masjid Lama Nilai)

Nasir

Tahar

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Preserving cultural heritage and historic sites is an important issue. These sites are subjected to erosion and vandalism, and, as long-lived artifacts, they have gone through many phases of construction, damage and repair. It is important to keep an accurate record of these sites using the 3-D model building technology as they currently are, so that preservationists can track changes, foresee structural problems, and allow a wider audience to "virtually" see and tour these sites. Due to the complexity of these sites, building 3-D models is time consuming and difficult, usually involving much manual effort. This study discusses new methods that can reduce the time to build a model using the Unmanned Aerial Vehicle method. This study aims to develop a 3D model of a historical mosque using UAV photogrammetry. In order to achieve this, the data acquisition set of Masjid Lama Nilai, Negeri Sembilan was captured by using an Unmanned Aerial Vehicle. In addition, accuracy assessment between the actual and measured values is made. Besides that, a comparison between the rendering 3D model and texturing 3D model is also carried out through this study.

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UAVNet: A mobile wireless mesh network using Unmanned Aerial Vehicles

Cited by 103 publications

References 8 publications

Survey of Important Issues in UAV Communication Networks

Survey of Important Issues in UAV Communication Networks

The CUSCUS simulator for distributed networked control systems: Architecture and use-cases

3d Model Generation From Uav: Historical Mosque (Masjid Lama Nilai)

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