Reliable communications in aerial sensor networks by using a hybrid antenna

Li, Kai; Ahmed, Nadeem; Kanhere, Salil S.; Jha, Sanjay

doi:10.1109/lcn.2012.6423595

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…The transmission radius of omni module on each UAV is 10 meters. According to the relationship of transmission range between omni and directional modules [8], the transmission distance of the beamforming is 28 meters. For bi-directional beam sweeping, the beamwidth is configured as 60…”

Section: A Simulation Configurationmentioning

confidence: 99%

“…In our initial work ( [6], [7]) a scalable algorithm for dynamic positioning of actors is proposed to provide high connectivity and coverage. In this paper, we apply our novel actor positioning strategy to real-world scenarios by utilizing a rotatable hybrid antenna model (O-BESPAR) [8]. Our positioning algorithm is based on the Valence Shell Electron Pair Repulsion (VSEPR) theory [9], which is utilized to define the positions of actors with respect to the sink.…”

Section: Introductionmentioning

confidence: 99%

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Reliable positioning with hybrid antenna model for aerial wireless sensor and actor networks

Akbaş

Turgut

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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Abstract-Aerial wireless sensor and actor networks are composed of multiple unmanned aerial vehicles. An actor node in the network has the capabilities of both acting on the environment and also performing networking functionalities for sensor nodes. Thus, positioning of actors is critical for the efficient data collection. In this paper, we propose an actor positioning strategy, which utilizes a hybrid antenna model that combines the complimentary features of an isotropic omni radio and directional antennas. We present a distributed algorithm for fast neighbor discovery with the hybrid antenna. The omni module of the hybrid antenna is used to form a self organizing network and the directional module is used for reliable data transmission. Extensive simulations show that our protocol improves the packet reception ratio by up to 50% compared to omnidirectional antenna. Moreover, the network reorganization delay is also reduced. The tradeoff between coverage and reorganization delay is also illustrated.

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Section: A Simulation Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliable positioning with hybrid antenna model for aerial wireless sensor and actor networks

Akbaş

Turgut

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

Self Cite

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“…However, while UAV brings all kinds of convenience to our production and life, the security problems it faces are being gradually exposing. At present, the common attacks on UAV mainly include the attacks on UAV sensors, UAV network, radio interference and hijacking, and GPS spoofing [4]. In these attacks, GPS spoofing is regarded as one of the most urgent threats, because it is practical and can be easily executed against UAV [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An Approach of Linear Regression‐Based UAV GPS Spoofing Detection

Meng

Yang²,

Ren³

et al. 2021

Wireless Communications and Mobile Computing

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A prominent security threat to unmanned aerial vehicle (UAV) is to capture it by GPS spoofing, in which the attacker manipulates the GPS signal of the UAV to capture it. This paper introduces an anti-spoofing model to mitigate the impact of GPS spoofing attack on UAV mission security. In this model, linear regression (LR) is used to predict and model the optimal route of UAV to its destination. On this basis, a countermeasure mechanism is proposed to reduce the impact of GPS spoofing attack. Confrontation is based on the progressive detection mechanism of the model. In order to better ensure the flight security of UAV, the model provides more than one detection scheme for spoofing signal to improve the sensitivity of UAV to deception signal detection. For better proving the proposed LR anti-spoofing model, a dynamic Stackelberg game is formulated to simulate the interaction between GPS spoofer and UAV. In particular, for GPS spoofer, it is worth mentioning that for the scenario that the UAV is cheated by GPS spoofing signal in the mission environment of the designated route is simulated in the experiment. In particular, UAV with the LR anti-spoofing model, as the leader in this game, dynamically adjusts its response strategy according to the deception’s attack strategy when upon detection of GPS spoofer’s attack. The simulation results show that the method can effectively enhance the ability of UAV to resist GPS spoofing without increasing the hardware cost of the UAV and is easy to implement. Furthermore, we also try to use long short-term memory (LSTM) network in the trajectory prediction module of the model. The experimental results show that the LR anti-spoofing model proposed is far better than that of LSTM in terms of prediction accuracy.

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