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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 11

Edge computing offloading method based on data compression and improved grey wolf optimizer on smart building

Shen Zheng
Lu Xianling
School of Internet of Things, Jiangnan University, Wuxi Jiangsu 214122, China
DOI: 10.19734/j.issn.1001-3695.2024.03.0095

Abstract

In the edge computing environment of smart buildings, in order to minimize the overall system latency and energy consumption under resource-constrained and complex conditions, this paper proposes an edge computing offloading method based on data compression and improved Gray Wolf Algorithm (CLGWO) . Firstly, the differential dictionary encoding compression method is used to estimate the data compression rate and the overhead incurred by compression. The Levy flight algorithm and spiral asymptotic hunting method are combined to enhance the global search ability of the Grey Wolf Optimizer. Finally, the optimal offloading scheme is determined by combining the estimated compression effects with the improved Grey Wolf Optimizer. Experimental results indicate that the CLGWO method reduces the overall latency and energy consumption of computing task offloading, and verifying its effectiveness and feasibility. This approach provides a new solution to the edge computing offloading problem in buildings.

Foundation Support

国家自然科学基金资助项目(61773181)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.03.0095
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 11

Publish History

[2024-08-05] Accepted Paper

Cite This Article

沈政, 卢先领. 智慧楼宇环境下基于数据压缩和改进灰狼算法的边缘计算卸载方法 [J]. 计算机应用研究, 2024, 41 (11). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.03.0095. (Shen Zheng, Lu Xianling. Edge computing offloading method based on data compression and improved grey wolf optimizer on smart building [J]. Application Research of Computers, 2024, 41 (11). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.03.0095. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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