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Multi-objective Computation Offloading in MEC-Empowered Smart Warehousing

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Mobile Networks and Management (MONAMI 2022)

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Abstract

As a typical application of the Industrial Internet of Things (IIoT), smart warehousing has attracted widespread attention. In addition, smart warehousing is regarded as a key part of logistics and supply chain management. The main idea of smart wareshousing is to deploy a large number of smart devices (SDs) to collect large amounts of data for improving the efficiency of digital management. However, it is difficult for SDs to process large amounts of data due to their limited computing capacity, meanwhile, traditional cloud-based smart warehousing paradigm often suffers from high latency disadvantage. Fortunately, mobile edge computing (MEC) can make up for the above shortcoming. Nevertheless, it is challenge to effectively integrate edge computing and smart warehousing. In view of this, we investigate the computation offloading problem in MEC-empowered smart warehousing, and propose an intelligent computation offloading algorithm to optimize time consumption and energy consumption of SDs as well as the resource utilization of the edge server cluster in this paper. Finally, we conduct several group of experiments to prove the effectiveness of our proposed method, and the results indicate that our method outperforms the other comparison methods in the given optimization objectives.

This work is supported by the National Science Foundation of China under Grant No. 61902133, the Fundamental Research Funds for the Central Universities under Grant No. ZQN-817, Quanzhou Science and Technology Project under Grant No. 2020C050R, China Postdoctoral Science Foundation under Grant No. 2022M710700.

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Authors and Affiliations

  1. Huaqiao University, Quanzhou, China

    Liangfei Yang, Kai Peng & Bohai Zhao

  2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, People’s Republic of China

    Liangfei Yang, Kai Peng & Bohai Zhao

  3. Sincetech (Fujian) Technology Co., Ltd., Quanzhou, China

    Kai Peng

Authors
  1. Liangfei Yang
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  2. Kai Peng
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  3. Bohai Zhao
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Correspondence to Kai Peng .

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Editors and Affiliations

  1. Jiangxi Normal University, Nanchang, China

    Yuanlong Cao

  2. Toyohashi University of Technology, Toyohashi, Japan

    Xun Shao

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Yang, L., Peng, K., Zhao, B. (2023). Multi-objective Computation Offloading in MEC-Empowered Smart Warehousing. In: Cao, Y., Shao, X. (eds) Mobile Networks and Management. MONAMI 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-031-32443-7_16

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  • DOI: https://doi.org/10.1007/978-3-031-32443-7_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-32442-0

  • Online ISBN: 978-3-031-32443-7

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