考虑链路重传的工业无线网络确定性调度算法

王恒; 刘清华; 李敏; 谭帅

doi:10.16383/j.aas.c190368

考虑链路重传的工业无线网络确定性调度算法

doi: 10.16383/j.aas.c190368

王恒^1,,
刘清华^1,,
李敏^1,,
谭帅^1,

1.
重庆邮电大学工业物联网与网络化控制教育部重点实验室重庆 400065

基金项目: 国家自然科学基金(61972061), 重庆市自然科学基金杰出青年基金(cstc2019jcyjjqX0012)资助

详细信息

作者简介:
王恒：重庆邮电大学自动化学院教授. 2010年获得重庆大学博士学位. 主要研究方向为工业物联网, 无线传感器网络, 协作通信. 本文通信作者. E-mail: wangheng@cqupt.edu.cn

刘清华：重庆邮电大学自动化学院硕士研究生. 主要研究方向为工业无线网络. E-mail: liuqinghua318@163.com

李敏：重庆邮电大学自动化学院副教授. 2014年获得重庆大学博士学位. 主要研究方向为协作通信, 无线传感器网络, 机器人技术. E-mail: limin@cqupt.edu.cn

谭帅：重庆邮电大学自动化学院硕士研究生. 主要研究方向为工业物联网. E-mail: tanshuai4253@163.com

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出版历程
- 收稿日期: 2019-05-14
- 录用日期: 2020-01-17
- 刊出日期: 2021-11-18

Orchestration Methods With Determinacy in Wireless Industrial Network by Considering Repeat Transmissions

WANG Heng^1
,,
LIU Qing-Hua^1
,,
LI Min^1
,,
TAN Shuai^1
,

1.
Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065

Funds: Supported by National Natural Science Foundation of China (61972061), and Natural Science Foundation of Chongqing, China, for Distinguished Young Scholars (cstc2019jcyjjqX0012)

More Information

Author Bio:
WANG Heng　Professor at the College of Automation, Chongqing University of Posts and Telecommunications. He received his Ph. D. degree from Chongqing University in 2010. His research interest covers industrial internet of things, wireless sensor networks, and cooperative communications. Corresponding author of this paper

LIU Qing-Hua　Master student at the College of Automation, Chongqing University of Posts and Telecommunications. His research interest covers industrial wireless networks

LI Min　Associate professor at the College of Automation, Chongqing University of Posts and Telecommunications. She received her Ph. D. degree from Chongqing University in 2014. Her research interest covers cooperative communications, wireless sensor networks, and robotics

TAN Shuai　Master student at the College of Automation, Chongqing University of Posts and Telecommunications. His main research interest is industrial internet of things

摘要

摘要: 作为工业网络的关键技术, 确定性调度通过合理安排网络传输资源, 满足工业数据在规定时间内到达目标设备的实时性要求. 工业网络往往部署在环境恶劣、电磁情况复杂的工业现场, 与有线网络相比, 工业无线网络还面临着严重的丢包问题. 考虑到重传是克服链路丢包的简便高效方法, 本文提出了支持持续重传和区间重传两种策略的确定性调度算法. 基于链路时槽松弛度和动态优先级, 调度算法在每个时槽按照调度规则为重传链路配置通信资源, 缓解丢包对数据传输的影响, 并围绕对应重传策略进行相应的时槽、频点优化分配, 保障数据端到端按时到达. 仿真结果表明, 所提调度算法在满足传输确定性的前提下, 有效提升了数据传输的可靠性.
- 工业无线网络 /
- 确定性调度 /
- 截止时间约束 /
- 链路重传
Abstract: As a key technology of industrial networks, orchestration with determinacy meets the real-time requirement of the industrial data arriving at target device within a specified time by arranging the network transmission resources reasonably. In most cases, the filed environment and electromagnetic situation of industrial networks are harsh and complex. Moreover, compared with the wired networks, the packet loss is a significant problem in industrial wireless networks. Considering that repeat transmission is a simple and efficient method to overcome link packet loss, this paper optimizes link retransmission in the process of orchestration and proposes orchestration methods with determinacy that support consequent retries and interval-working retries respectively. Based on time slot laxities and dynamic priorities of links, the two orchestration algorithms allocate communication resources for the retransmission link in accordance with the orchestration rules at each time slot to alleviate the impact of packet loss on data transmission, and optimize the allocation of time slot and channel resources according to the two retransmission strategies to ensure the timely arrival of end-to-end data. Extensive simulations demonstrate that our orchestration methods enhance communication reliability while the deterministic characteristic is maintained.
- Industrial wireless networks /
- deterministic scheduling /
- deadline constraint /
- link retransmission

HTML全文

图 1 网络模型图

Fig. 1 Network model

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图 2 通信链接$ {{\mu }_{i}}$的有效调度区间

Fig. 2 Effective scheduling interval of communication link $ {{\mu }_{i}}$

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图 3 调度成功率与设备数量关系图

Fig. 3 Relationship between schedulable ratio and device number

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图 4 调度成功率与重传区间关系图

Fig. 4 Relationship between schedulable ratio and retransmission interval

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图 5 调度成功率与丢包率关系图

Fig. 5 Relationship between schedulable ratio and packet loss rate

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图 6 调度成功率与信道质量关系图

Fig. 6 Relationship between schedulable ratio and channel quality

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图 7 调度成功率与起始设备和最终设备所构成的通信对所占比重关系图

Fig. 7 Relationship between schedulable ratio and proportion of communication pairs from source devices to final destination devices

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图 8 调度成功率与截止时间取值上限比重关系图

Fig. 8 Relationship between schedulable ratio and proportion of maximal deadline

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图 9 调度成功率与周期范围关系图

Fig. 9 Relationship between schedulable ratio and period range

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图 10 调度成功率与频点个数关系图

Fig. 10 Relationship between schedulable ratio and channel number

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表 1 用于仿真比较的各个方法的原理

Table 1 Principle of each method in simulation comparison

优先级	缩写	基本原理
固定不变	DM^[33]	通信流的相对截止时限越小, 越早调度
固定不变	PD^[33]	通信流的相对截止时限除以跳数, 所得结果越小, 越早调度
即时变化	EDF^[33]	通信流的绝对截止时限越小, 越早调度
	LLF^[33]	通信流的松弛度越小, 越早调度
	C-LLF^[9]	通信流的干扰感知松弛度越小, 越早调度

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表 2 各个调度方法的平均计算时间 (ms)

Table 2 Average execution time of each scheduling method (ms)

名称	10 个设备 3 条通信流	20 个设备 6 条通信流	30 个设备 9 条通信流	40 个设备 12 条通信流	50 个设备 15 条通信流	60 个设备 18 条通信流
DS-CR	15.48	40.51	72.49	112.54	162.74	222.19
DS-IWR	18.45	50.49	89.71	135.82	190.92	252.42
C-LLF	13.85	30.78	48.28	66.67	88.89	111.99
PD	18.51	29.13	35.97	42.08	48.07	55.79
EDF	19.54	30.65	37.72	43.45	49.76	55.39
DM	18.31	28.92	35.84	41.78	47.29	53.22
LLF	20	31.09	38.43	44.2	50.85	56.1

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