.png){kind=icon}
返回
Multiobjective Optimization-Based Task Offloading Combined With Power and Resource Allocation in Mobile Edge Computing
.png){kind=icon}
PRE
AI
DOI：10.1109/JSYST.2023.3296988.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
For mobile devices with limited computing power, it is a challenging problem to meet the demand of low-delay tasks and reduce their energy consumption and cost in mobile edge computing (MEC). In the multidevice and multiserver computing offloading model in MEC, we consider that each device has different computing power and independent tasks with different computational workload, and combine three optimization objectives of task offloading, power allocation, and resource allocation to construct a multiobjective optimization problem. To solve the abovementioned problem, we propose an efficient multiobjective evolutionary algorithm. Compared with the related algorithms, the proposed method can more effectively minimize the computational delay, device energy consumption, and cost. Simulation results show that the offloading revenue of mobile devices has been significantly optimized.
Keyword:
Index Terms-Mobile edge computing (MEC)
multiobjective optimization
power assignment
resource allocation
task offloading
期刊
I
IF:
2.4
论文数:
4.5K
被引数:
387
机构
引用论文
.png){kind=icon}
Constrained Multiobjective Optimization for IoT-Enabled Computation Offloading in Collaborative Edge and Cloud Computing协同边缘和云计算中基于IoT的计算卸载的约束多目标优化
PREAI
分享收藏Multiobjective Optimization for Joint Task Offloading, Power Assignment, and Resource Allocation in Mobile Edge Computing移动边缘计算中联合任务卸载、功率分配和资源分配的多目标优化
PREAI
分享收藏Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing面向移动边缘计算节能计算卸载的深度强化学习
PREAI
分享收藏VENOUS THROMBOEMBOLISM IN RENAL FAILURE: NATIONWIDE PREVALENCE AND OUTCOMES IN US HOSPITALIZATIONS肾功能衰竭患者的静脉血栓栓塞症：美国住院患者中的全国性患病率及预后
PREAI
分享收藏
分享收藏
查看更多内容