Design strategies of unmanned aerial vehicle-aided communication for disaster recovery

Tuna, Gürkan; Mumcu, Tarık Veli; Gülez, Kayhan

doi:10.1109/honet.2012.6421446

Cited by 32 publications

(19 citation statements)

References 7 publications

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“…(4) (4) solve SNR , ; / /Eq. (6) (5) end (6) end (7) for = 1 to do (8) for = 1 to do (9) if , ≥ min and , ≥ min then (10) if , > , , ∀ ̸ = then (11) C( ) = C( ) ∪ ; (12) end (13) end (14) end (15) end (16) if ∑ =1 |C( )| = then (17) for = 1 to do (18) build set S = C( ) ∪ AP; (19) for = 1 to |S| do (20) solve ( ) , ( ) , ( ) , FER ( ) ; (iv) Finally, raw fitness scores are calculated by applying a fitness function which depends on the objective function we introduced in (3) (lines (37)-(41)).…”

Section: Raw Fitness Criteria Evaluationmentioning

confidence: 99%

Deploying a Reliable UAV-Aided Communication Service in Disaster Areas

Mayor

Estepa

et al. 2019

Wireless Communications and Mobile Computing

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When telecommunication infrastructure is damaged by natural disasters, creating a network that can handle voice channels can be vital for search and rescue missions. Unmanned Aerial Vehicles (UAV) equipped with WiFi access points could be rapidly deployed to provide wireless coverage to ground users. This WiFi access network can in turn be used to provide a reliable communication service to be used in search and rescue missions. We formulate a new problem for UAVs optimal deployment which considers not only WiFi coverage but also the mac sublayer (i.e., quality of service). Our goal is to dispatch the minimum number of UAVs for provisioning a WiFi network that enables reliable VoIP communications in disaster scenarios. Among valid solutions, we choose the one that minimizes energy expenditure at the user's WiFi interface card in order to extend ground user's smartphone battery life as much as possible. Solutions are found using well-known heuristics such as K-means clusterization and genetic algorithms. Via numerical results, we show that the IEEE 802.11 standard revision has a decisive impact on the number of UAVs required to cover large areas, and that the user's average energy expenditure (attributable to communications) can be reduced by limiting the maximum altitude for drones or by increasing the VoIP speech quality.

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Section: Raw Fitness Criteria Evaluationmentioning

confidence: 99%

Deploying a Reliable UAV-Aided Communication Service in Disaster Areas

Mayor

Estepa

et al. 2019

Wireless Communications and Mobile Computing

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“…16 Candamo et al 13 described a vision-based street detection algorithm, which can be used by small autonomous UAVs for low-altitude urban surveillance. Gurkan et al 17 proposed an emergency communications system, which can be used anywhere required after a disaster, using high altitude UAVs. Andrei et al 14 presented a new method of compressing and decompressing video streams directly on video sensors and display panels by using high altitude UAVs, but without the use of on-board or independent DSP processors.…”

Section: Taxonomy Of Uavsmentioning

confidence: 99%

Simulation study of unmanned aerial vehicle communication networks addressing bandwidth disruptions

Wei

et al. 2014

SPIE Proceedings

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To date, Unmanned Aerial Vehicles (UAVs) have been widely used for numerous applications. UAVs can directly connect to ground stations or satellites to transfer data. Multiple UAVs can communicate and cooperate with each other and then construct an ad-hoc network. Multi-UAV systems have the potential to provide reliable and timely services for end users in addition to satellite networks. In this paper, we conduct a simulation study for evaluating the network performance of multi-UAV systems and satellite networks using the ns-2 networking simulation tool. Our simulation results show that UAV communication networks can achieve better network performance than satellite networks and with a lower cost and increased timeliness. We also investigate security resiliency of UAV networks. As a case study, we simulate false data injection attacks against UAV communication networks in ns-2 and demonstrate the impact of false data injection attacks on network performance.

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“…The main idea is to validate the possibility of creating a flying adhoc network based on 802.11 standard able to establish communication links among UAVs. 2) An autonomous helicopter is also used in [140], [141] to investigate navigation system, comparing a pre-planned trajectory with the actual flight path by the helicopter. A maximum error of 3 meters in one square kilometre area of field experiment is reported.…”

Section: F Other Relevant Testbedsmentioning

confidence: 99%

Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges

Fotouhi

Qiang

Ding

et al. 2019

IEEE Commun. Surv. Tutorials

818

485

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The rapid growth of consumer Unmanned Aerial Vehicles (UAVs) is creating promising new business opportunities for cellular operators. On the one hand, UAVs can be connected to cellular networks as new types of user equipment, therefore generating significant revenues for the operators that can guarantee their stringent service requirements. On the other hand, UAVs offer the unprecedented opportunity to realize UAVmounted flying base stations that can dynamically reposition themselves to boost coverage, spectral efficiency, and user quality of experience. Indeed, the standardization bodies are currently exploring possibilities for serving commercial UAVs with cellular networks. Industries are beginning to trial early prototypes of flying base stations or user equipments, while academia is in full swing researching mathematical and algorithmic solutions to address interesting new problems arising from flying nodes in cellular networks. In this article, we provide a comprehensive survey of all of these developments promoting smooth integration of UAVs into cellular networks. Specifically, we survey (i) the types of consumer UAVs currently available off-the-shelf, (ii) the interference issues and potential solutions addressed by standardization bodies for serving aerial users with the existing terrestrial base stations, (iii) the challenges and opportunities for assisting cellular communications with UAV-based flying relays and base stations, (iv) the ongoing prototyping and test bed activities, (v) the new regulations being developed to manage the commercial use of UAVs, and (vi) the cyber-physical security of UAV-assisted cellular communications.

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Design strategies of unmanned aerial vehicle-aided communication for disaster recovery

Cited by 32 publications

References 7 publications

Deploying a Reliable UAV-Aided Communication Service in Disaster Areas

Deploying a Reliable UAV-Aided Communication Service in Disaster Areas

Simulation study of unmanned aerial vehicle communication networks addressing bandwidth disruptions

Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges

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