首页|基于WIA-FA的无线AGV系统有序可靠重传方法

基于WIA-FA的无线AGV系统有序可靠重传方法

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近年来,工业无线网络在 自动引导车(automated guided vehicle,AGV)系统的应用愈来愈广泛.目前的AGV通信主要依赖于WiFi技术,由于其采用竞争式接入机制,无法满足恶劣工业环境下的有序和可靠传输要求.因此,本文提出一种基于WIA-FA的无线AGV系统有序可靠重传方法.首先,给出基于WIA-FA的AGV通信系统架构和数据传输过程,并设计一种新的超帧结构以满足数据传输的严格顺序性要求.进而,基于新超帧,设计一种基于有序调度的端到端重传策略(sequential scheduling based end-to-end retransmission,SSER),可实现上行数据的按需传输和下行数据的按序传输,并支持上行和下行数据时段长度的动态优化.仿真结果表明,在不同超帧长度、节点数量和信道条件等网络参数设置下,SSER在传输可靠性方面均优于现有工作.
Ordered and Reliable Retransmission Method for Wireless AGV Systems Based on WIA-FA
Recently,industrial wireless networks have been increasingly adopted in automated guided vehicle(AGV)applications.Current AGV communications primarily depend on Wi-Fi technology that employs contention-based access methods and thus cannot meet the requirement of ordered and reliable wireless transmission in harsh industrial environments.To this end,we investigate an or-dered and reliable retransmission method for wireless AGV systems based on WIA-FA.First,the communication system architecture and data transmission process of WIA-FA-based AGV systems are presented.A new superframe structure is designed to guarantee strictly ordered transmission.Then,on the basis of the new superframe,a sequential scheduling-based end-to-end retransmis-sion(SSER)strategy is proposed.SSER realizes on-demand transmission for uplink data and se-quential transmission for downlink data and supports the dynamic optimization of durations for up-link and downlink data phases.Simulation results show that SSER outperforms existing works in terms of transmission reliability under different network parameter settings,such as superframe length,number of nodes,and channel conditions.

industrial wireless networkautomated guided vehicleordered retransmissionreliabilitysuperframe

郑萌、冯彬、赵永恒、梁炜

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中国科学院沈阳自动化研究所机器人学国家重点实验室,辽宁沈阳 110016

中国科学院网络化控制系统重点实验室,辽宁沈阳 110016

中国科学院机器人与智能制造创新研究院,辽宁沈阳 110169

中国科学院大学,北京 100049

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工业无线网络 自动引导车 有序重传 可靠性 超帧

国家自然科学基金项目中国科学院对外合作重点项目沈阳市中青年科技创新人才支持计划沈阳市中青年科技创新人才支持计划

62022088173321KYSB20200002RC210482RC210314

2024

信息与控制
中国自动化学会 中国科学院沈阳自动化研究所

信息与控制

CSTPCD北大核心
影响因子:0.576
ISSN:1002-0411
年,卷(期):2024.53(4)