Energy Efficient Resource Allocation and Computation Offloading Strategy in a UAV-enabled Secure Edge-Cloud Computing System

Khan, Umar Ajaib; Khalid, Waqas; Saifullah, Saifullah

doi:10.1109/smartiot49966.2020.00018

Cited by 10 publications

(3 citation statements)

References 16 publications

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“…U. A. Khan et al [18] exploited chaotic cryptography to encrypt offloading tasks for security. Further, the study formulated an energy consumption minimization problem and solved it with heuristic algorithms.…”

Section: Related Workmentioning

confidence: 99%

“…By deploying a UAV-assisted MEC system, end devices can efficiently complete delay-sensitive applications. In [14][15][16][17][18][19][20], the secure data offloading mechanisms were investigated along with the research on UAV-assisted MEC systems [21][22][23][24]. Physical layer security has become one of the constraints when data offloading occurs in the MEC system.…”

Section: Researchmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Energy-Efficient and Secure Offloading in Air-to-Ground MEC Networks

Liu

et al. 2021

Preprint

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This paper mainly investigates the energy-efficient and secure offloading problem in air-to-ground MEC networks. The proposed efficient offloading mechanism is as per the requirements of the heterogeneous tasks of ground users. Further, the optimizing offloading rate, offloading object, and channel access jointly formulate system energy consumption and eavesdropping rate minimization. A distributed two-stage offloading scheme is proposed for achieving the sub-optimal solution for the Mixed-integer Nonlinear Programming (MINLP) problem. Finally, simulation results demonstrate that the proposed scheme is superior to several benchmark schemes.

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Section: Related Workmentioning

confidence: 99%

Section: Researchmentioning

confidence: 99%

Distributed Energy-Efficient and Secure Offloading in Air-to-Ground MEC Networks

Liu

et al. 2021

Preprint

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show abstract

“…The research on the security of the computational offloading process can mainly be divided into two categories: one is based on the traditional cryptography; the other is based on the physical layer security. [17,18] studied the energy efficiency of computational offloading based on cryptographic encryption, taking into account the delay and energy consumption caused by encryption, making energy efficiency evaluation closer to practical applications. [17] compared the energy consumption results of computational offloading with encryption and without encryption.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Computational Offloading for Secure NOMA-Enabled Mobile Edge Computing Networks

Wang

2022

Wireless Communications and Mobile Computing

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Computational offloading and nonorthogonal multiple access (NOMA) are two promising technologies for alleviating the problems of limited battery capacity, insufficient computational capability, and massive deployment of terminal equipment in the Internet of Things (IoT) era. However, offloading data may be threatened by malicious eavesdroppers, which leads to more energy consumptions to avoid being eavesdropped. In this work, we study the energy-efficient way of computational offloading under the condition of certain security requirement in a secure NOMA-enabled mobile-edge computing (MEC) networks, where K end users are intended to offload their data to the N -antenna access point (AP) through the same resource block under the threat of an eavesdropper. We first address energy-efficient local resource allocation by minimizing sum-energy consumption of end users, subject to CPU frequencies, offloading bits, secrecy offloading rate, and transmit power. We then optimize the local resources to obtain the minimum computation latency of task for each end user, with the constraint of certain energy budget. The solutions to the above two optimization problems are given and demonstrated numerically by a 3-user scenario.

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Performance Analysis of UAV‐Enabled Disaster Recovery Networks

Basir

Qaisar²,

Ali

et al. 2021

Autonomous Airborne Wireless Networks

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Energy Efficient Resource Allocation and Computation Offloading Strategy in a UAV-enabled Secure Edge-Cloud Computing System

Cited by 10 publications

References 16 publications

Distributed Energy-Efficient and Secure Offloading in Air-to-Ground MEC Networks

Distributed Energy-Efficient and Secure Offloading in Air-to-Ground MEC Networks

Energy-Efficient Computational Offloading for Secure NOMA-Enabled Mobile Edge Computing Networks

Performance Analysis of UAV‐Enabled Disaster Recovery Networks

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