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ISSN

2424-8460(Online)

2251-2608(Print)

Article Processing Charges (APCs)

US$800

Publication Frequency

Quarterly

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Published

2026-04-02

Issue

Vol 13 No 1 (2026): Published

Section

Articles

Semantic-aware network collaborative scheduling mechanism for multi-agents

Yining Gao

Xi'an Jiaotong University


DOI: https://doi.org/10.59429/esta.v13i1.13392


Keywords: multi-agent; semantic perception network; collaborative scheduling mechanism; semantic adaptation; dynamic scheduling


Abstract

In the context of the deep integration of intelligent terminals and Internet of Things technology, the multi-agent semantic perception network, formed by the combination of multi-agent systems and semantic perception technology, is widely applied in various scenarios such as distributed information processing and intelligent collaborative perception. The efficiency of its collaborative scheduling plays a decisive role in the network's perception performance and service quality. This paper summarizes the basic characteristics of the multi-agent semantic perception network, analyzes the core problems existing in the current collaborative scheduling process, proposes an appropriate collaborative scheduling optimization mechanism, and utilizes semantic unified adaptation and dynamic scheduling strategies to resolve issues such as semantic heterogeneity and unreasonable resource allocation, thereby improving the network's collaborative efficiency and stability. This enables the network to operate more efficiently and stably in practical applications, providing strong support for the development of related fields.


References

[1] Kong Weiyang. Review on Multi-Agent Reinforcement Learning Research [J]. Science and Industry, 2025,

25(21): 91-105.

[2] Yang Chengbi, Zhou Liheng, Yang Longbao. Research on Predictive Maintenance of Power System

Equipment Based on Multi-Agent [J]. China Equipment Engineering, 2025, (20): 77-79.

[3] Kong Deyin, Tu Yewei, Liu Chao, et al. Switching-type Load Regulation Strategy Based on Multi-Agent

Consistency [J]. Electrical Switching, 2025, 63(05): 80-84.



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