A Design and Simulation of the Opportunistic Computation Offloading with Learning-Based Prediction for Unmanned Aerial Vehicle (UAV) Clustering Networks

Valentino, Rico; Jung, Woo‐Sik; Ko, Young

doi:10.3390/s18113751

Cited by 35 publications

(8 citation statements)

References 29 publications

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“…Also, if the drone is obtained illegally by an unauthorized person, he should not be able to access highly confidential information. 6,7 For the deployment of IoD, confidentiality, and security of the gathered data have become very crucial. Approaches like authentication and key agreement (AKA) are one of the ways which ensures confidential and effective communication in IoD.…”

Section: F I G U R E 1 Various Applications Of Iodmentioning

confidence: 99%

A probably secure biometric‐based authentication and key agreement scheme for Internet of Drones

Gautam,

Rana,

Obaidat

et al. 2023

Trans Emerging Tel Tech

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The Internet of Drones (IoD) is one of the world's most recent and innovative technology. Drones are most prominent IoT (Internet of Things) gadgets and their applications span from commercial to domestic. The sensitive data stored in drones has increased the demand for the security of communication in the IoD. As a result, numerous authentication and key agreement techniques have been developed to proffers secure communication among the entities of the IoD network. However, after scrutinizing the security of these protocols, many IoD protocols were observed to be susceptible to different cryptographic attacks. This has enhanced the necessity for an improved and efficient authentication scheme in IoD. In this article, we first investigate Zhang et al.'s approach and demonstrate that although it offers security verification, it has certain design problems. It is, furthermore, shown to be vulnerable to privileged insider, offline password guessing, and stolen smart device attacks. Second, we propose a novel biometric‐based scheme that includes countermeasures to protect against these flaws. The security of the mechanism is examined under real or random oracle model, informal security analysis and scyther simulation for numerous cryptographic assaults. Also, the performance analysis substantiates the competency of the proposed scheme corresponding to computation and communication cost with existing schemes.

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Section: F I G U R E 1 Various Applications Of Iodmentioning

confidence: 99%

A probably secure biometric‐based authentication and key agreement scheme for Internet of Drones

Gautam,

Rana,

Obaidat

et al. 2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…Its main advantage is that the acquired data could be potentially analysed in real-time or near real-time and, so, decisions could be taken on the fly according to the obtained results. However, the data analysis methods that can be on-board executed are very limited [10,14,15]. Additionally, since, while following this approach, the data are fully processed on-board and never transmitted to the ground station during the mission, it cannot be used for any supervised or semi-supervised application in which an operator is required for visualizing the acquired data or its results and taking decisions according to it.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Hyperspectral Data Transmission for UAV-Based Acquisition Platforms

et al. 2021

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Hyperspectral sensors that are mounted in unmanned aerial vehicles (UAVs) offer many benefits for different remote sensing applications by combining the capacity of acquiring a high amount of information that allows for distinguishing or identifying different materials, and the flexibility of the UAVs for planning different kind of flying missions. However, further developments are still needed to take advantage of the combination of these technologies for applications that require a supervised or semi-supervised process, such as defense, surveillance, or search and rescue missions. The main reason is that, in these scenarios, the acquired data typically need to be rapidly transferred to a ground station where it can be processed and/or visualized in real-time by an operator for taking decisions on the fly. This is a very challenging task due to the high acquisition data rate of the hyperspectral sensors and the limited transmission bandwidth.

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“…Traditionally, images sensed by spaceborne Earth-observation missions are not on-board processed. The main rationale behind this is the limited on-board power capacity that forces the use of low-power devices, which are normally not as highly performing as their commercial counterparts [3][4][5][6][7][8]. In this regard, images are subsequently downloaded to the Earth surface where they are off-line processed on high-performance computing systems based on Central Processing Units (CPUs), Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), or heterogeneous architectures.…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based On-Board Hyperspectral Imaging Compression: Benchmarking Performance and Energy Efficiency against GPU Implementations

et al. 2020

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Remote-sensing platforms, such as Unmanned Aerial Vehicles, are characterized by limited power budget and low-bandwidth downlinks. Therefore, handling hyperspectral data in this context can jeopardize the operational time of the system. FPGAs have been traditionally regarded as the most power-efficient computing platforms. However, there is little experimental evidence to support this claim, which is especially critical since the actual behavior of the solutions based on reconfigurable technology is highly dependent on the type of application. In this work, a highly optimized implementation of an FPGA accelerator of the novel HyperLCA algorithm has been developed and thoughtfully analyzed in terms of performance and power efficiency. In this regard, a modification of the aforementioned lossy compression solution has also been proposed to be efficiently executed into FPGA devices using fixed-point arithmetic. Single and multi-core versions of the reconfigurable computing platforms are compared with three GPU-based implementations of the algorithm on as many NVIDIA computing boards: Jetson Nano, Jetson TX2 and Jetson Xavier NX. Results show that the single-core version of our FPGA-based solution fulfils the real-time requirements of a real-life hyperspectral application using a mid-range Xilinx Zynq-7000 SoC chip (XC7Z020-CLG484). Performance levels of the custom hardware accelerator are above the figures obtained by the Jetson Nano and TX2 boards, and power efficiency is higher for smaller sizes of the image block to be processed. To close the performance gap between our proposal and the Jetson Xavier NX, a multi-core version is proposed. The results demonstrate that a solution based on the use of various instances of the FPGA hardware compressor core achieves similar levels of performance than the state-of-the-art GPU, with better efficiency in terms of processed frames by watt.

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A Design and Simulation of the Opportunistic Computation Offloading with Learning-Based Prediction for Unmanned Aerial Vehicle (UAV) Clustering Networks

Cited by 35 publications

References 29 publications

A probably secure biometric‐based authentication and key agreement scheme for Internet of Drones

A probably secure biometric‐based authentication and key agreement scheme for Internet of Drones

Real-Time Hyperspectral Data Transmission for UAV-Based Acquisition Platforms

FPGA-Based On-Board Hyperspectral Imaging Compression: Benchmarking Performance and Energy Efficiency against GPU Implementations

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