Research Article
Multi-objective Computation Offloading in MEC-Empowered Smart Warehousing
@INPROCEEDINGS{10.1007/978-3-031-32443-7_16, author={Liangfei Yang and Kai Peng and Bohai Zhao}, title={Multi-objective Computation Offloading in MEC-Empowered Smart Warehousing}, proceedings={Mobile Networks and Management. 12th EAI International Conference, MONAMI 2022, Virtual Event, October 29-31, 2022, Proceedings}, proceedings_a={MONAMI}, year={2023}, month={5}, keywords={MEC Computation Offloading Smart Warehousing}, doi={10.1007/978-3-031-32443-7_16} }- Liangfei Yang
Kai Peng
Bohai Zhao
Year: 2023
Multi-objective Computation Offloading in MEC-Empowered Smart Warehousing
MONAMI
Springer
DOI: 10.1007/978-3-031-32443-7_16
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.
