Auction Based Secure Computation Offloading in Vehicular Networks

2020 ◽  
pp. 91-109
Author(s):  
Zhou Su ◽  
Yilong Hui ◽  
Tom H. Luan ◽  
Qiaorong Liu ◽  
Rui Xing
Keyword(s):  
Vehicular Networks ◽  
Secure Computation ◽  
Computation Offloading

Blockchain-Based Secure Computation Offloading in Vehicular Networks

2020 ◽  
pp. 1-15
Author(s):  
Xiao Zheng ◽  
Mingchu Li ◽  
Yuanfang Chen ◽  
Jun Guo ◽  
Muhammad Alam ◽  
...  
Keyword(s):  
Vehicular Networks ◽  
Secure Computation ◽  
Computation Offloading

scholarly journals Computation Offloading and Resource Allocation in Vehicular Networks Based on Dual-Side Cost Minimization

2019 ◽  
Vol 68 (2) ◽  
pp. 1079-1092 ◽  
Author(s):  
Jianbo Du ◽  
F. Richard Yu ◽  
Xiaoli Chu ◽  
Jie Feng ◽  
Guangyue Lu
Keyword(s):  
Resource Allocation ◽  
Vehicular Networks ◽  
Cost Minimization ◽  
Computation Offloading

scholarly journals Computation Offloading for Mobile Edge Computing Enabled Vehicular Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 62624-62632 ◽  
Author(s):  
Jun Wang ◽  
Daquan Feng ◽  
Shengli Zhang ◽  
Jianhua Tang ◽  
Tony Q. S. Quek
Keyword(s):  
Vehicular Networks ◽  
Edge Computing ◽  
Computation Offloading ◽  
Mobile Edge Computing

scholarly journals Particle Swarm Optimization-Based Secure Computation Efficiency Maximization in a Power Beacon-Assisted Wireless-Powered Mobile Edge Computing NOMA System

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5540 ◽  
Author(s):  
Carla E. Garcia ◽  
Mario R. Camana ◽  
Insoo Koo
Keyword(s):  
Particle Swarm Optimization ◽  
Multiple Access ◽  
Particle Swarm ◽  
Secure Computation ◽  
Edge Computing ◽  
Computation Offloading ◽  
Processing Unit ◽  
Mobile Edge Computing ◽  
Swarm Optimization ◽  
Computation Efficiency

In this paper, we aim to provide reliable user connectivity and enhanced security for computation task offloading. Physical layer security is studied in a wireless-powered non-orthogonal multiple access (NOMA) mobile edge computing (MEC) system with a nonlinear energy-harvesting (EH) user and a power beacon (PB) in the presence of an eavesdropper. To further provide a friendly environment resource allocation design, wireless power transfer (WPT) is applied. The secure computation efficiency (SCE) problem is solved by jointly optimizing the transmission power, the time allocations for energy transfer, the computation time, and the central processing unit (CPU) frequency in the NOMA-enabled MEC system. The problem is non-convex and challenging to solve because of the complexity of the objective function in meeting constraints that ensure the required quality of service, such as the minimum value of computed bits, limitations on total energy consumed by users, maximum CPU frequency, and minimum harvested energy and computation offloading times. Therefore, in this paper, a low-complexity particle swarm optimization (PSO)-based algorithm is proposed to solve this optimization problem. For comparison purposes, time division multiple access and fully offloading baseline schemes are investigated. Finally, simulation results demonstrate the superiority of the proposed approach over baseline schemes.

scholarly journals A Hierarchical Vehicular-Based Architecture for Vehicular Networks: A Case Study on Computation Offloading

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 184273-184283
Author(s):  
Tingting Liu ◽  
Junhua Wang ◽  
Baekgyu Kim ◽  
Jiang Xie ◽  
Zhu Han
Keyword(s):  
Vehicular Networks ◽  
Computation Offloading
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