Modeling and Performance Optimization of Unmanned Aerial Vehicle Channels in Urban Emergency Management

Han, Bing; Qin, Danyang; Zheng, Ping; Ma, Lin; Teklu, Merhawit Berhane

doi:10.3390/ijgi10070478

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Ref. [18] conducted channel modeling for emergency communication scenarios in urban areas and proposed a height-based adaptive channel model. Ref.…”

Section: Introductionmentioning

confidence: 99%

Multi-Frequency Channel Measurement and Characteristic Analysis in Forested Scenario for Emergency Rescue

Guo,

Yuan,

et al. 2024

Electronics

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Wireless communication has been widely used in emergency rescue, including from command vehicles to command vehicles, command vehicles to rescue teams, command vehicles to wireless sensors, and rescue teams to intelligent platforms such as unmanned vehicles. Compared to those used in cities and suburbs, when the same communication equipment is used in forests, its communication performance, such as transmission distance, is entirely different. The main reason for this phenomenon is the extraordinary complexity of wireless signal propagation in forest scenarios. Therefore, in order to accurately and quantitatively describe the wireless channel characteristics in forest scenarios, a frequency channel measurement activity is conducted in a forest and analysis is performed to acquire the channel characteristics in forest scenarios. The measurements are carried out at 380 MHz, 640 MHz, and 1420 MHz in virgin forest. Based on the measurement data, the average power delay profile (APDP) is obtained, and multipath components (MPCs) are extracted. Root mean square (RMS) delay spread and path loss (PL) are analyzed according to MPCs. Furthermore, a new path loss model is proposed. Finally, a new path loss model and relative analysis are provided.

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“…Ref. [18] conducted channel modeling for emergency communication scenarios in urban areas and proposed a height-based adaptive channel model. Ref.…”

Section: Introductionmentioning

confidence: 99%

Multi-Frequency Channel Measurement and Characteristic Analysis in Forested Scenario for Emergency Rescue

Guo,

Yuan,

et al. 2024

Electronics

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“…The key problem is to guarantee the cryptographic security of data transmission in the management of UAVs [1,2], intelligent robots [3], microsatellites [4], and various mobile transport systems [5]. Due to the security vulnerabilities of UAVs and illegal and malicious attacks against UAVs, especially against communication data and UAV control, solutions to prevent such attacks are needed, and one of them is to encrypt UAV's communication data [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

An Approach to the Implementation of a Neural Network for Cryptographic Protection of Data Transmission at UAV

Tsmots

Teslyuk

Łukaszewicz

et al. 2023

Drones

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An approach to the implementation of a neural network for real-time cryptographic data protection with symmetric keys oriented on embedded systems is presented. This approach is valuable, especially for onboard communication systems in unmanned aerial vehicles (UAV), because of its suitability for hardware implementation. In this study, we evaluate the possibility of building such a system in hardware implementation at FPGA. Onboard implementation-oriented information technology of real-time neuro-like cryptographic data protection with symmetric keys (masking codes, neural network architecture, and matrix of weighting coefficients) has been developed. Due to the pre-calculation of matrices of weighting coefficients and tables of macro-partial products and the use of tabular-algorithmic implementation of neuro-like elements and dynamic change of keys, it provides increased cryptographic stability and hardware–software implementation on FPGA. The table-algorithmic method of calculating the scalar product has been improved. By bringing the weighting coefficients to the greatest common order, pre-computing the tables of macro-partial products, and using operations of memory read, fixed-point addition, and shift operations instead of floating-point multiplication and addition operations, it provides a reduction in hardware costs for its implementation and calculation time as well. Using a processor core supplemented with specialized hardware modules for calculating the scalar product, a system of neural network cryptographic data protection in real-time has been developed, which, due to the combination of universal and specialized approaches, software, and hardware, ensures the effective implementation of neuro-like algorithms for cryptographic encryption and decryption of data in real-time. The specialized hardware for neural network cryptographic data encryption was developed using VHDL for equipment programming in the Quartus II development environment ver. 13.1 and the appropriate libraries and implemented on the basis of the FPGA EP3C16F484C6 Cyclone III family, and it requires 3053 logic elements and 745 registers. The execution time of exclusively software realization of NN cryptographic data encryption procedure using a NanoPi Duo microcomputer based on the Allwinner Cortex-A7 H2+ SoC was about 20 ms. The hardware–software implementation of the encryption, taking into account the pre-calculations and settings, requires about 1 msec, including hardware encryption on the FPGA of four 2-bit inputs, which is performed in 160 nanoseconds.

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“…A key problem is to guarantee cryptographic security of data transmission in the management of UAV [1,2], intelligent robots [3], microsatellites [4] and various mobile transport systems [5]. Due to the security vulnerabilities of UAVs, and illegal and malicious attacks against UAVs, especially against communication data and UAV control, solutions to prevent such attacks are needed, and one of them is to encrypt UAV's communication data [6,7,8].…”

Section: Introductionmentioning

confidence: 99%

Neural Network Technology for Cryptographic Protection of Data Transmission at UAV

Tsmots¹,

Teslyuk²,

Łukaszewicz³

et al. 2023

Preprint

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The neural network technology for real-time cryptographic data protection with symmetric keys (masking codes, neural network architecture and weights matrix) for unmanned aerial vehicles (UAV) onboard communication systems has been developed. It provides hardware and software implementation with high technical and operational characteristics. The development of neural network technology for real-time cryptographic data protection was performed using an integrated approach based on theoretical foundations of neural network cryptographic data protection, new algorithms and structures of neural network data encryption and decryption, modern element base with the possibility of programming for the structure, and computer-aided design of hardware and software tools. The development and implementation of the on-board system of neural network cryptographic data protection in real-time are based on the following principles: variable composition of equipment; modularity; conveyorization and spatial parallelism; specialization and adaptation of hardware and software to data encryption and decryption. The tabular-algorithmic method of calculating the scalar product has been improved, it provides fast calculation of the scalar product of input data for both fixed and floating-point by bringing to the largest common order of weights and forming tables of macro-partial products for them. Components of neural network cryptographic data encryption and decryption have been developed on the processor core supplemented by specialized scalar product calculation modules. The specialized hardware for neural network cryptographic data encryption was developed using VHDL for equipment programming in the Quartus II development environment ver. 13.1 and the appropriate libraries, and implemented on the basis of the FPGA EP3C16F484C6 Cyclone III family.

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Modeling and Performance Optimization of Unmanned Aerial Vehicle Channels in Urban Emergency Management

Cited by 7 publications

References 20 publications

Multi-Frequency Channel Measurement and Characteristic Analysis in Forested Scenario for Emergency Rescue

Multi-Frequency Channel Measurement and Characteristic Analysis in Forested Scenario for Emergency Rescue

An Approach to the Implementation of a Neural Network for Cryptographic Protection of Data Transmission at UAV

Neural Network Technology for Cryptographic Protection of Data Transmission at UAV

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