A priori driven time-varying low-altitude edge ad hoc network algorithm coordination method, system and device

By introducing a priori-driven time-varying low-altitude edge ad hoc network (LAB) computing-network collaboration method into LAB, and utilizing prediction models and differentiated scheduling strategies, the collaborative decision-making problem between the communication layer and the computing layer is solved. This enables efficient and reliable task scheduling and resource allocation in dynamic environments, meeting the differentiated needs of multiple concurrent services.

CN122160793APending Publication Date: 2026-06-05BEIJING UNIV OF POSTS & TELECOMM
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING UNIV OF POSTS & TELECOMM
Filing Date
2026-01-15
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

The lack of a unified collaborative decision-making mechanism between the communication layer and the computing layer in existing low-altitude edge ad hoc networks leads to uneven task scheduling and resource allocation, making it difficult to achieve efficient and reliable task scheduling in dynamic environments, especially in multi-service concurrent scenarios where it is difficult to meet the differentiated needs of different tasks.

Method used

By acquiring real-time status and historical scheduling data of low-altitude edge ad hoc networks, and using an autoregressive differential moving average model to predict future service and link status, differentiated edge computing network collaborative scheduling decisions are generated to optimize the allocation of communication and computing resources, thereby achieving differentiated modeling and scheduling of periodic and sudden services.

Benefits of technology

It improves the reliability and stability of low-altitude edge self-organizing networks in dynamic environments, prioritizes the service quality of critical services, and improves overall resource utilization efficiency, enabling stable and efficient operation in multi-service concurrent scenarios.

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Abstract

The application provides a prior-driven time-varying low-altitude edge ad hoc network computing network coordination method, system and device, which comprises the following steps: obtaining the current computing service of the low-altitude edge ad hoc network and the real-time state of each computing unmanned aerial vehicle node; based on the number of historical computing services and the historical link state in the low-altitude edge ad hoc network, predicting the number of computing services and the communication link state in the future scheduling period; according to the number of arrivals and the communication link state, reserving time slot resources and recording the corresponding time slot resource reservation; according to the number of arrivals, the communication link state, the time slot resource reservation and the real-time state, generating an edge computing network coordination scheduling decision; according to the decision, controlling each computing unmanned aerial vehicle node to perform computing service scheduling processing and cooperative computing operation. The application can realize predictable computing network coordination scheduling for future state, and improve the reliability, stability and service guarantee capability of the low-altitude edge ad hoc network in a dynamic environment.
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