Placement of UAVs as Communication Relays Aiding Mobile Ad Hoc Wireless Networks

Rubin, I.; Zhang, Runhe

doi:10.1109/milcom.2007.4455114

Cited by 40 publications

(20 citation statements)

References 6 publications

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“…Barrows et al 9 showed new approaches for developing sensors to perceive environments. To enhance the robust throughput performance of mobile ad-hoc wireless networks, Izhak et al 12 presented a method and algorithm, which are used to deploy low altitude UAVs for efficiently supporting the robustness and capacity requirements of the underlying mobile ad-hoc wireless network system. Blasch and Kahler designed a target recognition system for UAVs based on EO/IR sensors on UAVs.…”

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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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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“…This will increase the throughput capacity along the path, but any other nodes within range of these communications will be interfered with. The work in [9] explores using UAVs as relay points between groups of ground units. However, while both UAV and ground unit are using the same frequency, nodes transmitting to the UAV will interfere with local nodes.…”

Section: Related Workmentioning

confidence: 99%

“…Similarly, when the UAV transmits all nodes in the network are effectively jammed. A technique to alleviate these issues is to use different frequencies to communicate with and between the UAVs [9,10]. Although this is a good solution, it requires more complex technology as 978-1-4244-6317-6/10/$26.00 © 2010 IEEE ISWCS 2010 different types of antennas and / or radios need to be carried.…”

Section: Related Workmentioning

confidence: 99%

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Enhancing mobile adhoc networks through node placement and topology control

Hunjet

Coyle

Sorell

2010

2010 7th International Symposium on Wireless Communication Systems

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Mobile adhoc networks (MANETs) provide a means of communication when infrastructure is not available.Due to the interference caused through the sharing of a common frequency the capacity of such networks decreases as the number of users increase. This paper investigates how the insertion of additional nodes at strategic points coupled with control of nodes' transmission powers can decrease the interference and power consumption within the network. This is known to cause an increase in both network capacity and the lifetime of the network. A simplified particle swarm optimisation is used to analyse network structures and find the optimum placement for additional nodes. The work in this paper first validates the use of swarm optimisation by comparing its results to those of an exhaustive search. It then compares the benefits achieved when using additional nodes as opposed to the use of topology control alone; the use of additional nodes results in an average reduction in interference of 18% and an average power reduction per node of 60% over all network configurations tested.

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“…Networks of small unmanned aerial vehicles 1 (UAVs) can also be employed for wildfire monitoring [1], border surveillance [2], and for extending ad hoc networks on the ground [3], [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Routing For Flying Ad Hoc Networks

Aarthi¹,

Santhi²

2017

International Journal of Advanced Research in Computer and Comm

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Abstract-This paper reports experimental results on self-organizing wireless networks carried by small flying robots. Flying ad hoc networks (FANETs) composed of small unmanned aerial vehicles (UAVs) are flexible, inexpensive and fast to deploy. This makes them a very attractive technology for many civilian and military applications. Due to the high mobility of the nodes, maintaining a communication link between the UAVs is a challenging task. The topology of these networks is more dynamic than that of typical mobile ad hoc networks (MANETs) and of typical vehicle ad hoc networks (VANETs). As a consequence, the existing routing protocols designed for MANETs partly fail in tracking network topology changes.In this work, we compare two different routing algorithms for ad hoc networks: optimized link-state routing (OLSR), and predictive-OLSR (P-OLSR). The latter is an OLSR extension that we designed for FANETs; it takes advantage of the GPS information available on board. To the best of our knowledge, P-OLSR is currently the only FANET-specific routing technique that has an available Linux implementation. We present results obtained by both Media Access Control (MAC) layer emulations and real-world experiments. In the experiments, we used a testbed composed of two autonomous fixed-wing UAVs and a node on the ground. Our experiments evaluate the link performance and the communication range, as well as the routing performance.Our emulation and experimental results show that P-OLSR significantly outperforms OLSR in routing in the presence of frequent network topology changes.

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Placement of UAVs as Communication Relays Aiding Mobile Ad Hoc Wireless Networks

Cited by 40 publications

References 6 publications

Simulation study of unmanned aerial vehicle communication networks addressing bandwidth disruptions

Simulation study of unmanned aerial vehicle communication networks addressing bandwidth disruptions

Enhancing mobile adhoc networks through node placement and topology control

Dynamic Routing For Flying Ad Hoc Networks

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