Multi-objective Computation Offloading in MEC-Empowered Smart Warehousing

Multi-objective Computation Offloading in MEC-Empowered Smart Warehousing

연구 분야: Databases

학회: International Conference on Mobile Networks and Management

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.