计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 290-293.

• 无线网络与通信 • 上一篇    下一篇

基于流量预报的WSNs自适应占空比算法

张龙妹,陆 伟   

  1. 西安科技大学通信与信息工程学院 西安710054,西安财经学院信息学院 西安710100
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金(61302133),西安科技大学博士启动基金(2014QDJ071),西安科技大学培育基金(201255,201356)资助

Adaptive Duty Cycle Algorithm Based on Traffic Prediction for WSNs

ZHANG Long-mei and LU Wei   

  • Online:2018-11-14 Published:2018-11-14

摘要: 提出一种无线传感器网络流量预报自适应占空比算法AdcbTP,该算法通过预报的流量值实现对SMAC协议中占空比的自适应控制。在宏观的工作周期尺度上采用流量预报获得理论占空比实现“粗略预估调控”,在微观的休眠/侦听周期尺度上执行对占空比的“精微增量调控”。经过NS2仿真实验采集流量数据后进行预报并和原始流量对比,发现该模型预报的流量与原始值偏差很小。能耗及时延分析结果表明,该算法在不损失传输时延的同时最大程度地降低了能耗。

Abstract: A new adaptive duty cycle algorithm based on traffic prediction was proposed for WSNs,named AdcbTP.AdcbTP predicts the future traffic and estimates duty cycle on the basis of the predicted values,and then adaptively controls duty cycle of SMAC protocol.In the macro scale of work periods,it works out theoretic duty cycle value using traffic prediction model,and implements rough prediction control to duty cycle.In the micro scale of sleep/listen periods,it implements subtle incremental adjustment to duty cycle.NS2 simulations show little variance between the predicated value and the real value.Furthermore,extensive simulations on energy exhausting and latency simulation show that AdcbTP saves energy greatly without loss of latency.

Key words: Wireless sensor networks,Time series,Traffic prediction,Duty cycle,SMAC

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