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WSNs中基于占空比間隔優(yōu)化的延遲約束路由算法
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福州職業(yè)技術(shù)學(xué)院 文化創(chuàng )意系

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TP393

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江蘇省自然科學(xué)基金(No.BK20200805)


Duty Cycle Interval Optimization Based Delay-constrained Routing Algorithm in WSNs
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    摘要:

    針對WSNs中現有路由算法存在的各種不足,本文提出了一種基于占空比間隔優(yōu)化的延遲約束路由算法。具體來(lái)說(shuō),在提出的算法中,首先,將端到端延遲分布估計為占空比間隔和潛在轉發(fā)器數量的函數,在給定的網(wǎng)絡(luò )模型和參數下,其分布可以近似地估計。然后,選擇滿(mǎn)足延遲約束成功率(Delay-Constrained Success Ratio,DCSR)要求的占空比間隔最大值,每個(gè)節點(diǎn)獨立地調度其休眠和喚醒時(shí)間,發(fā)送端節點(diǎn)將數據包轉發(fā)給潛在轉發(fā)器中最先喚醒的節點(diǎn),從而確保數據包以要求的概率即DCSR到達接收器,同時(shí)最大化占空比間隔;仿真實(shí)驗結果表明,提出的路由算法不僅能夠滿(mǎn)足要求的DSCR,并在ETE延遲、數據包交付率和實(shí)際得到的DCSR方面都優(yōu)于現有的先進(jìn)算法。

    Abstract:

    Aiming at all kinds of the shortcomings of existing routing algorithms in WSNs, this paper proposes a delay-constrained routing algorithm based on duty cycle interval optimization is proposed in this paper. Specifically, in the proposed algorithm, firstly, the end-to-end(ETE) delay distribution is estimated as a function of the duty cycle interval and the number of potential forwarders, and its distribution can be approximately estimated under the given network model and parameters. Then, the maximum duty cycle interval that met the delay-constrained Success Ratio (DCSR) requirement is selected. Each node independently schedules its sleep and wake up times, and the sending node forwards the data packet to the node that is woke up first in the potential forwarders. This ensures that the packets arrive at the receiver with the required probability, namely DCSR, and maximizes the duty cycle interval. Simulation results show that the proposed routing algorithm can not only meet the requirements of DSCR, but also outperform the existing advanced algorithms in terms of ETE delay, packet delivery rate and the obtained actually DCSR.

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楊雅頌,胡杰. WSNs中基于占空比間隔優(yōu)化的延遲約束路由算法計算機測量與控制[J].,2023,31(12):284-289.

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歷史
  • 收稿日期:2023-06-08
  • 最后修改日期:2023-07-10
  • 錄用日期:2023-07-11
  • 在線(xiàn)發(fā)布日期: 2023-12-27
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