Latency-Energy Joint Optimization for Task Offloading and Resource Allocation in MEC-Assisted Vehicular Networks

doi:10.1109/TVT.2023.3289236

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	Latency-Energy Joint Optimization for Task Offloading and Resource Allocation in MEC-Assisted Vehicular Networks
	Y. Cong, K. Xue, C. Wang, W. Sun, S. Sun and F. Hu
	2023
发表期刊	IEEE Transactions on Vehicular Technology
ISSN	00189545
卷号	72 期号:12 页码:16369-16381
摘要	In this article, we study the task offloading problem on mobile edge in vehicular networks. Specifically, we take computational resource constraints into consideration, and aim to simultaneously reduce latency and energy consumption. For this purpose, we establish an offloading model that consists of local edge computing resources, edge server resources of both macro and subsidiary base stations, as well as cloud computing server resources. Each task can be offloaded through one of five strategies, and is evaluated via a loss function determined by its latency and energy consumption. Based on this model, our goal is to solve a mixed-integer non-linear optimization problem (MINLP) whose objective function is the weighted sum of the task-specific loss functions. To address this optimization problem, we split it into two sub-problems, referred to as resource allocation and offloading strategy. We develop a method based on Block Coordinate Descent technique combining convex optimization and Gray Wolf algorithm (BCD-CONGW) that alternatively solves the two sub-problems, until convergence. The former sub-problem is convex and can be solved in polynomial time, whereas the latter is non-convex and hence NP-hard. For the latter, we relax discrete variables and employ Gray Wolf algorithm with elite strategy to approximate its optimal point. By numerical evaluations, we show that our method outperforms existent methods in terms of latency and energy consumption. © 1967-2012 IEEE.
DOI	10.1109/TVT.2023.3289236
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收录类别	ei
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文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67413
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Y. Cong, K. Xue, C. Wang, W. Sun, S. Sun and F. Hu. Latency-Energy Joint Optimization for Task Offloading and Resource Allocation in MEC-Assisted Vehicular Networks[J]. IEEE Transactions on Vehicular Technology,2023,72(12):16369-16381.
APA	Y. Cong, K. Xue, C. Wang, W. Sun, S. Sun and F. Hu.(2023).Latency-Energy Joint Optimization for Task Offloading and Resource Allocation in MEC-Assisted Vehicular Networks.IEEE Transactions on Vehicular Technology,72(12),16369-16381.
MLA	Y. Cong, K. Xue, C. Wang, W. Sun, S. Sun and F. Hu."Latency-Energy Joint Optimization for Task Offloading and Resource Allocation in MEC-Assisted Vehicular Networks".IEEE Transactions on Vehicular Technology 72.12(2023):16369-16381.

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