Achieving air-ground communications in 802.11 networks with three-dimensional aerial mobility

Yanmaz, Evşen; Kuschnig, Robert; Bettstetter, Christian

doi:10.1109/infcom.2013.6566747

Cited by 166 publications

(111 citation statements)

References 15 publications

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“…It is also critical to consider the energy consumption of the drones in terms of altitude and mobility [18]. Since our transmitter is equipped with a large number of antennas, using a spatial beamforming according to the channel state information (CSI), it is possible to generate a high power at each node [6], [7].…”

Section: D Optimal Drone Deploymentmentioning

confidence: 99%

Wireless powering of drone-based MANETs for disaster zones

Calvo

Alirezaei

Mathar

2017

2017 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)

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Abstract-Since in emergency zones the communication network has to be rapidly established, the usage of autonomous drones, forming an ad-hoc network, is an interesting alternative. By using the mentioned drones, the main technical challenge to face is the difficulty of powering the drones for a long service time, having in mind that they are not wired to any infrastructure and the batteries are not designed for lasting the required period of time. To prolong the operating lifetime of such networks, we hence propose and investigate a new simultaneous wireless information and power transmission (SWIPT) scheme. We first study the optimal distribution of the harvested energy, that can be shared between data communication, drone movement, and battery charging. Then we optimize the positioning of the drones such that a line-of-sight situation is achieved as well as a minimum required signal-to-noise ratio is ensured at the receivers. Afterwards, the lobes of both transmitter and receiver antennas are optimally aligned to maximize the harvested energy. Finally, the proposed drone-based network is simulated by using realistic parameters to show its adequate performance in practice.

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Section: D Optimal Drone Deploymentmentioning

confidence: 99%

Wireless powering of drone-based MANETs for disaster zones

Calvo

Alirezaei

Mathar

2017

2017 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)

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“…However, this work does not consider several aspects of real scenarios, like the antenna orientation and the shadowing caused by buildings. For these reasons, testbeds have been used in [9] [10] to characterize the performance of two-hops aerial mesh networks. In [9], the path loss and the We assume that each disconnected EU device periodically transmits a HELLO message, with its position and identifier in order to enable its localization from the RUs.…”

Section: Related Workmentioning

confidence: 99%

“…For these reasons, testbeds have been used in [9] [10] to characterize the performance of two-hops aerial mesh networks. In [9], the path loss and the We assume that each disconnected EU device periodically transmits a HELLO message, with its position and identifier in order to enable its localization from the RUs. Similarly, while flying, each RU i broadcasts a BEACON message on the Common Control Channel (CCC) in the 2.4 GhZ band every T f intervals containing its id, position, the number of EU devices currently connected to (n i EU ), and the set of neighbor RUs of RU i (N eigh i ).…”

Section: Related Workmentioning

confidence: 99%

Self-organizing aerial mesh networks for emergency communication

Felice

Trotta

Bedogni

et al. 2014

2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)

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Abstract-Guaranteeing network connectivity in post-disaster scenarios is challenging yet crucial to save human lives and to coordinate the operations of first responders. In this paper, we investigate the utilization of low-altitude aerial mesh networks composed by Small Unmanned Aerial Vehicles (SUAVs) in order to re-enstablish connectivity among isolated end-user (EU) devices located on the ground. Aerial ad-hoc networks provide the advantage to be deployable also on critical scenarios where terrestrial mobile devices might not operate, however their implementation is challenging from the point of view of mobility management and of coverage lifetime. In this paper, we address both these issues with three novel research contributions. First, we propose a distributed mobility algorithm, based on the virtual spring model, through which the SUAV-based mesh node -called also Repairing Units (RUs) in this study-can self-organize into a mesh structure by guaranteeing Quality of Service (QoS) over the aerial link, and connecting the maximum number of EU devices. Second, we evaluate our scheme on a realistic 3D environment with buildings, and we demonstrate the effectiveness of the aerial deployment compared to a terrestrial one, in terms of coverage and wireless link reliability. Third, we address the problem of energy lifetime, and we propose a distributed charging scheduling scheme, through which a persistent coverage of RUs can be guaranteed over the emergency scenario.

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“…Several studies rely on small-case test-beds, e.g. [13]. However, experimental studies, in order to be meaningful, should consider many UAVs at the same time, and this might easily introduce excessive costs or present safety problems.…”

Section: Introductionmentioning

confidence: 99%