Self-Organization as a Supporting Paradigm for Military UAV Relay Networks

Orfanus, Dalimir; Freitas, Edison Pignaton de; Eliassen, Frank

doi:10.1109/lcomm.2016.2524405

Cited by 214 publications

(105 citation statements)

References 4 publications

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“…Our tool can be identified as a model-based approach. Although many of the model-based approaches have very promising results, they often use the UABSs as a communication relay node, rather than providing directly service to the end user [5][6][7]. A disaster scenario, like ours, is addressed by [1,[8][9][10].…”

Section: Related Workmentioning

confidence: 99%

Designing UAV-aided emergency networks for large-scale disaster scenarios

Deruyck

Wyckmans

Joseph

et al. 2018

J Wireless Com Network

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Today's wireless communication networks are very reliable. However, in case of a disaster, these networks can be overwhelmed by a tremendous amount of requests which they can not cope with. We propose a deployment tool for UAV (unmanned aerial vehicle)-aided emergency networks for such disaster scenarios. By using UAVs, femtocell base stations will be brought to and hovered at their assigned location. We applied this deployment tool on a realistic disaster scenario in the city center of Ghent, Belgium. The results are very promising although a large amount of drones (> 1000 type 1 or > 370 type 2 drones) is required to provide full coverage for 1 h. Halving the user coverage results in 1.8 to 2 times less drones. More effectively is to increase the drone's fly height. A 10-m higher fly height can result in a reduction up to 13%. However, above 100 m, the influence is not significant any more. Decreasing the user's service level has no significant influence on the number of required drones for the considered scenario. Furthermore, a prediction model for the number of required drones based on the intervention duration and the user coverage is proposed.

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Section: Related Workmentioning

confidence: 99%

Designing UAV-aided emergency networks for large-scale disaster scenarios

Deruyck

Wyckmans

Joseph

et al. 2018

J Wireless Com Network

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“…FAR nodes with the ability to self-organize with optimal placement, seamless handover and load balancing would improve drastically the network performance [17]. In this way, the aerial nodes would be utilized more efficiently in cases of unbalanced traffic distribution in the different places of the affected area.…”

Section: Self-organizationmentioning

confidence: 99%

Communication recovery with emergency aerial networks

Mekikis

Antonopoulos

Kartsakli

et al. 2017

IEEE Trans. Consumer Electron.

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Abstract-In spite of the significant advancements in wireless connectivity, the static form of the network infrastructure cannot guarantee an uninterrupted operation of the ever-growing wireless consumer electronics in emergency situations such as natural disasters. In such occasions, employing flexible aerial nodes can tackle this issue by recovering the communication rapidly, when the need for connectivity is of utmost importance. In this paper, we study the use of aerial nodes for communication recovery after a communication breakdown. We provide an analytical model of the recovery probability that demonstrates the capabilities of such networks. In the performance evaluation, we show the effects of the altitude and the distance between the aerial nodes on the recovery probability and verify them with simulations. Moreover, we introduce our testbed and preliminary experimental work that shows promising results for aerial networks. Finally, we discuss useful insights for the network design and present some open issues that exist in this field.

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“…The use cases of the UAVs aided mobile communications mainly cover emergency-responding services for both public and military areas [1]. Recent studies have investigated various air-to-ground channel models [2], flying altitude versus coverage trade-offs [3], energy efficient UAV transmission schemes [4], etc.…”

Section: Introductionmentioning

confidence: 99%

“…Also, the xy-coordinates of the nth UAV are set as the centroid of the nth cluster C n . We finally assume that all coordinates are perfectly known to the control centre 1 .…”

Section: Introductionmentioning

confidence: 99%

Modularity-Based Dynamic Clustering for Energy Efficient UAVs-Aided Communications

Zhang

Gao

et al. 2018

IEEE Wireless Commun. Lett.

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Abstract-In this letter, we propose a novel modularity-based dynamic clustering relying on modified Louvain method for UAVs aided mobile communications. Our aim is to save the transmit power of the mobile devices, by locating the UAVs vertically projected on the centroids of the user clusters. We further propose two types of operation for the modularitybased dynamic clustering, namely the recurring operation and the differential operation. We show that the proposed method requires substantially lower transmit power of the mobile devises and lower energy consumption of the UAVs than that required by the K-means based solution. We also show that the differential operation is more suitable for networks with lower proportion of moving users, since it consumes significantly less energy than that required by the recurring operation at the cost of requiring slightly higher transmit power of mobile devices. I. INTRODUCTIONRecently, unmanned aerial vehicles (UAVs) aided mobile communications has drawn great attentions, thanks to its capability in providing better line-of-sight (LoS) connections with adjustable flying positions. The use cases of the UAVs aided mobile communications mainly cover emergency-responding services for both public and military areas [1]. Recent studies have investigated various air-to-ground channel models [2], flying altitude versus coverage trade-offs [3], energy efficient UAV transmission schemes [4], etc. Indeed, it is highly important to save the transmit power of mobile devices so that to prolong their usage in emergency scenarios. One promising approach is to locate the UAVs closer to the mobile devices for establishing shorter radio links. To elaborate, [5] showed that the transmit power of mobile devices can be substantially reduced by adapting the UAVs' positions based on the mobile devices' locations.In UAVs aided mobile communications, each UAV serves a cluster of mobile devices, where the clustering is typically based on the de facto K-means criteria. However, it is known from network science that modularity is the most used and best measure of the quality of clustering performance. Indeed, it has been widely studied in sociology, biology and computer science in terms of community detection [6]. Hence, we propose a novel modularity-based dynamic clustering for energy efficient UAVs aided mobile communications, relying on modified Louvain method in both recurring and differential operation to construct clusters. Specifically, after forming dynamic clusters, the UAVs are relocated to the positions vertically projected on the centroids of clusters.

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Self-Organization as a Supporting Paradigm for Military UAV Relay Networks

Cited by 214 publications

References 4 publications

Designing UAV-aided emergency networks for large-scale disaster scenarios

Designing UAV-aided emergency networks for large-scale disaster scenarios

Communication recovery with emergency aerial networks

Modularity-Based Dynamic Clustering for Energy Efficient UAVs-Aided Communications

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