Evaluation Method of Access Strategy for Massive Collection Devices Based on Fuzzy Analytic Hierarchy Process

• Published in: 2023 International Conference on Networks, Communications and Intelligent Computing (NCIC) pp. 35 - 40
• Main Authors: Xie, Guangcheng, Wang, Siwei, Hu, Ke, Xu, Hongyu, Chen, Wenli, Su, Yu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.11.2023
• Subjects: 5G mobile communication; access strategy; Analytic hierarchy process; Communication channels; Data collection; Electricity; electricity consumption information collection; Explosives; fuzzy evaluation; Processor scheduling
• DOI: 10.1109/NCIC61838.2023.00011

With the continuous development of new power systems, the collection of customer-side electricity consumption information is gradually showing characteristics such as the gradual application of 5G remote communication, massive access of intelligent collection devices, explosive growth of information data, and highly flexible operation control. There are numerous methods and strategies for massive device access, but the evaluation of these methods is often overlooked, resulting in a research gap. This paper proposes a combined approach of fuzzy evaluation and analytic hierarchy process to evaluate the effectiveness of access strategies for massive collection devices from dimensions such as master station, communication channel, and terminal equipment. This evaluation ensures the efficient implementation of strategies for large-scale device access and high-frequency data processing, and lays the foundation for the selection of wide-scale connection and task scheduling management strategies for massive collection devices. It also addresses the information flow processing and optimization strategies for high-frequency data collection from massive nodes.