集成agv的智能工厂工业无线传感器网络噪声感知自适应聚类

IF 4.8 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Ad Hoc Networks Pub Date : 2025-05-23 DOI:10.1016/j.adhoc.2025.103906

Ying Duan , Tongyao Fu , Lingling Li , Pasquale Pace , Gianluca Aloi , Giancarlo Fortino

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引用次数: 0

摘要

工业无线传感器网络（IWSNs）在智能工厂的实时监控和数据采集中起着至关重要的作用。然而，传感器节点的能量限制极大地限制了网络的寿命。此外，传统的仿真方法忽略了工业噪声的影响，降低了实验结果的真实性。为了解决这些挑战，我们提出了一种自动制导车辆集成噪声感知自适应聚类（A-INAC）算法。该算法结合工业无线噪声模型（IWNM）来反映工厂环境中的噪声特征，并优化集群董事的选择，以实现更均衡的能耗。此外，还设计了利用agv移动性的分层传输策略，以满足大规模网络传输需求。仿真结果表明，与LEACH和LEACH- c相比，A-INAC算法可有效降低网络能耗39%，延长网络寿命118%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AGV-Integrated Noise-Aware Adaptive Clustering for Industrial Wireless Sensor Networks in smart factories

Industrial Wireless Sensor Networks (IWSNs) play a critical role in real-time monitoring and data collection in smart factories. However, energy constraints in sensor nodes significantly limit the network lifespan. In addition, traditional simulation methods overlook the impact of industrial noise, reducing the truthfulness of experimental results. To address these challenges, we propose an Automated Guided Vehicle-Integrated Noise-Aware Adaptive Clustering (A-INAC) algorithm. The algorithm incorporates an Industrial Wireless Noise Model (IWNM) to reflect noise characteristics in the factory environment and optimizes the selection of cluster directors to achieve more balanced energy consumption. In addition, a hierarchical transmission strategy leveraging the mobility of AGVs is designed to meet large-scale network transmission needs. Simulation results demonstrate that the A-INAC algorithm can effectively reduce network energy consumption and extend network lifetime by 39% and 118% compared to LEACH and LEACH-C, respectively.

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来源期刊

Ad Hoc Networks 工程技术-电信学

CiteScore

10.20

自引率

4.20%

发文量

131

审稿时长

4.8 months

期刊介绍： The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.