Deterministic Scheduling Algorithm With Priority Classification for Industrial Wireless Networks
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摘要: 确定性调度技术对于工业无线网络数据的实时性和确定性传输有着重要意义.本文针对工业无线网络数据流本身存在优先级分类属性的情况, 基于多信道时分多址接入(TDMA)技术, 在分析高优先级数据流对低优先级数据流造成的链路冲突延时和信道竞争延时基础上, 对网络进行调度预处理, 进而排除参数不合理的网络, 并向网络管理者反馈.对于通过预处理的网络, 调度算法优先为高优先级数据流的链路分配时隙和信道资源, 而对属于同一类优先级的数据流, 提出一种基于比例冲突空余时间的调度方案, 在满足可调度性条件的前提下, 根据各链路的比例冲突空余时间值从小到大依次分配时隙和信道资源.实验结果表明, 所提出的调度算法可以取得较高的网络调度成功率.Abstract: Deterministic scheduling technology has a significant impact on the real-time and deterministic data transmission in industrial wireless networks. This paper considers the case that end-to-end flows in industrial wireless networks have a property of priority classification, and adopt multi-channel time division multiple access (TDMA) technology. On the basis of analyzing the delays of lower priority flows due to both link conflict and channel contention caused by higher priority flows, there is a pre-processing scheduling for testing networks firstly. Therefore, some networks with unreasonable parameters can be excluded, and this will inform network administrator for further processing. For networks passing the test of pre-processing scheduling, the scheduling algorithm gives preference to allocate time slots and channels to link with higher priority flows. For the flows with the same priority, a scheduling scheme based on proportional deadline and conflict is also presented, which allocates the time slots and channels according to the values of proportional deadline and conflict in ascending order for flows that meet the schedulability condition. Results show that the proposed scheduling method can achieve a higher schedulable ratio.
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Key words:
- Industrial wireless networks /
- deterministic scheduling /
- priority classification /
- pre-processing scheduling
1) 本文责任编委 付俊 -
图 3 不同优先级数据流发生链路冲突情况一
Fig. 3 The first case of link conflict caused by data flows with different priorities
图 4 不同优先级数据流发生链路冲突情况二
Fig. 4 The second case of link conflict caused by data flows with different priorities
图 6 三种调度方法关于截止时间和实际调度平均时延数据对比图
Fig. 6 Comparisons between the deadlines and the actual scheduled average delays for three scheduling methods
图 7 不同网络规模下三种调度方法的调度成功率
Fig. 7 Success probabilities of scheduling for the three scheduling schemes in different network sizes
图 8 不同丢包情况下三种调度方法的调度结果
Fig. 8 Successful scheduling ratios of data flows for the three scheduling methods in different packet loss cases
表 1 模型中参数符号代表的意义
Table 1 Notations used in the considered model
符号 意义 Fi 第i条数据流 Ti 第i条数据流的周期 hp(Fi) 优先级高于Fi的所有数据流集合 Di 数据流Fi受到hp(Fi)影响造成的总延时 Ci 数据流Fi完成传输的截止时隙 Hi 数据流Fi端到端传输路径上的路由跳数 Li 数据流Fi的端到端传输延时 rHt 某条数据流在时隙t下剩余未传输的链路个数 
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表 2 三种调度方法的平均执行时间(ms)
Table 2 Average execution time of three scheduling methods (ms)
网络规模 10个节点,
5条数据流20个节点,
10条数据流30个节点,
15条数据流40个节点,
20条数据流50个节点,
25条数据流60个节点,
30条数据流70个节点,
35条数据流EPD-C 21.4 89.9 195.6 311.6 491.4 737.9 973.9 LLF 24.7 100.5 215.6 391.6 625.5 943.9 1 215.5 RM 26.5 113.3 269.4 483.6 859.3 1 340 2 084
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