A simulation study of ad hoc networking of UAVs with opportunistic resource utilization networks

Lilien, Leszek; Othmane, Lotfi ben; Angin, Pelin; DeCarlo, Andrew; Salih, Raed M.; Bhargava, Bharat

doi:10.1016/j.jnca.2013.05.003

Cited by 35 publications

(14 citation statements)

References 11 publications

(14 reference statements)

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“…In addition, multiple UAVs can conform a cooperative network, and define the best positioning strategy for better coordination in a distributed manner [29]. A typical application of such solutions includes homeland defense operations, where the network allows dynamic transitions from searching to the tracking of user agents and ground nodes [30].…”

Section: Related Workmentioning

confidence: 99%

Experimental characterization of UAV-to-car communications

et al. 2018

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Unmanned Aerial Vehicles (UAVs), popularly known as drones, can be deployed in conjunction with a network of ground vehicles. In situations where no infrastructure is available, drones can be deployed as mobile infrastructure elements to offer all types of services. Examples of such services include safety in rural areas where, upon an emergency event, drones can be quickly deployed as information relays for distributing critical warning to vehicles. In this work, we analyze the communications performance on the link between cars and drones taking into account the altitude, the antenna orientation, and the relative distance. The presented results show that the communication between a drone and a car can reach up to three kilometers in a rural area, and achieves at least a fifty percent success ratio for the delivery rate at a 2.7 kilometer range. Finally, to allow integrating the communications link behaviour in different network simulators, the experimental results were also modeled with a modified Gaussian function that offers a suitable representation for this kind of communication.

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Section: Related Workmentioning

confidence: 99%

Experimental characterization of UAV-to-car communications

et al. 2018

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“…A single UAV system is not an effective solution; thus, UAV swarming was formed. But the UAV coordinated network should be scalable enough that any number of nodes can be added or removed in between the operations without any link loss . Latency. The mean packet delay in UAV can cause a serious threat to the network.…”

Section: Open Issuesmentioning

confidence: 99%

Cooperative frameworks and network models for flying ad hoc networks: a survey

Sharma

Kumar

2016

Concurrency and Computation

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Summary Integrated frameworks have extended the applications of networks beyond a simple data sharing unit. Simultaneously, operating networks can form a layered structure that can operate as homogeneous as well as dissociated units. Networks using unmanned aerial vehicles follow similar criteria in their operability. Unmanned aerial vehicles can act as single searching unit controlled by human or can form an aerial swarm that can fly autonomously with the capability of forming an aerial network. Such aerial swarms are categorized as aerial ad hoc networks. Cooperation amongst different networks can be realized using various frameworks, models, architectures and middlewares. Several solutions have been developed that can provide easy network deployment of aerial nodes. However, a combined literature is not present that provides a comparison between these approaches. Keeping this in view, various cooperative approaches for similar formation using aerial vehicles have been discussed in this paper. The detailed study and comparative analysis of these approaches have been included. Further, the paper also includes various software solutions and their comparisons based on common parameters. Finally, various open issues have been discussed that can provide insight of ongoing research and problems that are yet to be resolved in these networks. Copyright © 2016 John Wiley & Sons, Ltd.

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“…The authors [6] conclude that Ad-Hoc Network is the best architecture for a homogeneous team of UAVs, while multilayer UAV Network is more suitable for multiple groups of heterogeneous UAVs (see Figure 3). Paper [7] presents an Opportunistic Resource Utilization Network (Oppnet). The project uses a UAV as a seed Oppnet that has a list of possible helpers.…”

Section: A Architecturesmentioning

confidence: 99%

Unmanned Aerial Vehicle Networking Protocols

Suescún¹,

Cardei²

2016

Proceedings of the 14th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Engineering Innovati

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Unmanned Aerial vehicles (UAV), more commonly known as drones, are widely used by military and civilian applications. They can be used for remote sensing, transportation, scientific research, armed attacks, search, and rescue. They can be used in applications where human presence is dangerous. Drones could be equipped with cameras, sensors, communications equipment, and weapons. UAVs can be piloted by a human from land or can be autonomous. In the future, autonomous UAVs will work collaboratively with other aircrafts. UAVs can communicate wirelessly, forming a MANET. Thus the constraints and advantages of MANETs are transferable to networks of UAV. This paper presents some networking protocols for the UAV wireless networks.

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A simulation study of ad hoc networking of UAVs with opportunistic resource utilization networks

Cited by 35 publications

References 11 publications

Experimental characterization of UAV-to-car communications

Experimental characterization of UAV-to-car communications

Cooperative frameworks and network models for flying ad hoc networks: a survey

Unmanned Aerial Vehicle Networking Protocols

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