传感器网络任务与资源智能匹配方法

doi:10.12305/j.issn.1001-506X.2026.08.18

Abstract

Abstract:

To address the requirements of complex task heterogeneity, dynamic complexity of resource, and the flexibility of task and resource matching in sensor networks, an intelligent task and resource matching method based on temporal knowledge graph is proposed. Firstly, a task knowledge graph and a sensor capability temporal knowledge graph are constructed to store task information and characterize network node capabilities, the utilization rate of task and network knowledge is improved. Secondly, a task resource matching framework is designed to provide standardized descriptions for task resource matching. Subsequently, task resource matching rules are designed to conduct a correlation analysis from three dimensions: time, space, and information, optimizing network task and resource matching. Simulation results show that the proposed method outperforms traditional algorithms in terms of energy consumption and resource utilizatbion rates, proving its feasibility and effectiveness in sensor network task and resource matching.

Key words: sensor network, temporal knowledge graph (TKG), task and resource matching, knowledge graph

CLC Number:

TN 915.04

Zixuan LI, Chungang YANG, Tong LI, Yao WANG, Han WU, Jie LI. Intelligent task and resource matching method for sensor network[J]. Systems Engineering and Electronics, 2026, 48(8): 2713-2724.

Figures/Tables 10

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编号	描述	所需能力	匹配成员列表
T₁	海上侦察	侦察、空域	S₁（电光传感器）、S₃（无人机平台）、 S₈（雷达传感器）
T₂	夜间监视	侦察、低光成像、空域	S₄（红外成像传感器）、 S₄（无人机平台）
T₃	高分辨率侦察	高分辨	S₁₆（高分辨率成像传感器）、 S₅（无人机平台）
T₄	侦察信息回传	低丢包率	S₁₃（雷达传感器-可通信传输）

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Intelligent task and resource matching method for sensor network

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