ODTRA-Based Task Offload Optimization for Industrial Internet of Things: Improving Efficiency and Performance With Digital Twins and Metaheuristic Optimization

被引:3
作者
Swaminathan, Dhivya [1 ]
Rajagopalan, Arul [2 ]
Nidumolu, Venkatram [3 ]
Alroobaea, Roobaea [4 ]
Kotb, Hossam [5 ]
Aboras, Kareem M. [5 ]
Elrashidi, Ali [6 ,7 ]
机构
[1] Vellore Inst Technol, Sch Elect Engn, Chennai 600127, Tamil Nadu, India
[2] Vellore Inst Technol, Ctr Smart Grid Technol, Sch Elect Engn, Chennai 600127, Tamil Nadu, India
[3] Koneru Lakshmaiah Educ Fdn, Dept Elect & Commun Engn, Vijayawada 522302, Andhra Pradesh, India
[4] Taif Univ, Coll Comp & Informat Technol, Dept Comp Sci, Taif 21944, Saudi Arabia
[5] Alexandria Univ, Fac Engn, Dept Elect Power & Machines, Alexandria 21544, Egypt
[6] Univ Business & Technol, Elect Engn Dept, Jeddah 23435, Saudi Arabia
[7] Alexandria Univ, Fac Engn, Engn Math Dept, Alexandria 21544, Egypt
关键词
IIoT; digital twins; task offloading; metaheuristic optimization; water cycle metaphor; decision-making system; WATER CYCLE ALGORITHM; RESOURCE-ALLOCATION; SENSOR NETWORKS; EDGE; CONFIGURATION; BLOCKCHAIN; SYSTEMS;
D O I
10.1109/ACCESS.2024.3385636
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Industrial Internet of Things (IIoT) is the recent innovation that had revolutionized the industries by enabling interconnected devices and systems to exchange intelligent data. However, implementing and operating such IIoT systems have various challenges. This article addresses those challenges pertained to task offloading in IIoT in which the resource-intensive tasks are transmitted and executed on remote cloud servers. To optimize the task offloading decisions this work propose the integration of Digital Twins, which are the computer-generated replicas of physical objects. By using the functionalities of Digital Twins along with real-time monitoring, and metaheuristic optimization algorithms this work presents a task offloading model for IIoT. Through this combined framework, the proposed model attempts to minimize the task execution time by considering the server capacity, bandwidth constraints, and device power consumption. The proposed Offloading with Digital Twins and Raindrop Algorithm (ODTRA) algorithm that is based on the water cycle metaphor and the Probabilistic Recursive Local (PRL) search algorithm had efficiently optimizes offloading performance which was proven through different experiment simulation and analysis.
引用
收藏
页码:51796 / 51817
页数:22
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