Online optimization of physical-layer secure computation offloading in dynamic environments

2020 ◽  
Vol 17 (10) ◽  
pp. 19-30
Author(s):  
Chenshan Ren ◽  
Wei Song ◽  
Lizhi Zhao ◽  
Xiaobing Zhao
Keyword(s):  
Dynamic Environments ◽  
Physical Layer ◽  
Secure Computation ◽  
Online Optimization ◽  
Computation Offloading

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.

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 Energy Efficient Secure Computation Offloading in NOMA-Based mMTC Networks for IoT

2019 ◽  
Vol 6 (3) ◽  
pp. 5674-5690 ◽  
Author(s):  
Shujun Han ◽  
Xiaodong Xu ◽  
Sisai Fang ◽  
Yan Sun ◽  
Yue Cao ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Secure Computation ◽  
Computation Offloading
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