Edge iot asynchronous agent orchestration method and system

By extending the address-event representation frame sequence and asynchronous handshake protocol, the task graph is dynamically segmented into subgraphs and the target intelligent agent is selected, which solves the problem of task-level dynamic routing across heterogeneous edge nodes, realizes low-latency and low-power task orchestration and collaborative execution, and meets the real-time and energy efficiency requirements of edge IoT.

CN122437807APending Publication Date: 2026-07-21SCHOOL OF SOFTWARE ZHEJIANG UNIV (NINGBO) MANAGEMENT CENT (NINGBO SOFTWARE EDUCATION CENT)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SCHOOL OF SOFTWARE ZHEJIANG UNIV (NINGBO) MANAGEMENT CENT (NINGBO SOFTWARE EDUCATION CENT)
Filing Date
2026-06-22
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies cannot effectively solve the problem of task-level dynamic routing and runtime rerouting across heterogeneous edge nodes, resulting in excessive communication latency and power consumption, which cannot meet the millisecond-level real-time requirements and milliwatt-level power consumption budget of edge IoT.

Method used

Extended address-event representation is used to serialize task pulse events in frames. Combined with a global asynchronous local synchronization strategy and a four-phase asynchronous handshake protocol, the task directed acyclic graph is dynamically divided into subgraphs. The target asynchronous agent is selected by the principle of weighted minimum cost, realizing task-level dynamic routing and rerouting across heterogeneous edge nodes. Vector clocks are used to maintain causal order relationships for result aggregation.

Benefits of technology

It significantly reduces communication latency and power consumption, enables dynamic rerouting and loosely coupled collaboration across heterogeneous edge nodes, meets the real-time and energy efficiency requirements of edge IoT, and demonstrates excellent task orchestration and collaborative execution capabilities in drone swarms, medical sensors, and industrial IoT scenarios.

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Abstract

The application discloses an edge Internet of Things asynchronous agent arrangement method and system, characterized by obtaining a computing task containing a task directed acyclic graph, obtaining an extended address-event representation frame sequence through multi-channel pulse coding and frame serialization; the task directed acyclic graph is divided into a plurality of subgraphs; a source asynchronous agent selects a target asynchronous agent for the subgraph according to the minimum weighted cost principle, adopts a global asynchronous local synchronous strategy and a four-phase asynchronous handshake protocol for routing; each target asynchronous agent executes the subgraph in parallel, and the result is coded as a pulse event and returned; the source asynchronous agent maintains a causal order relationship by using a vector clock, and obtains a task output vector through merging; bidirectional conversion between the extended address-event representation frame sequence and an application layer protocol is supported, and an arrangement result is output; the advantage is that stable dynamic rerouting and causal order aggregation can be realized in a large-scale heterogeneous node cluster, and strict requirements of the edge Internet of Things on real-time performance, energy efficiency and scalability are fully met.
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