物联网学报 ›› 2019, Vol. 3 ›› Issue (4): 56-62.doi: 10.11959/j.issn.2096-3750.2019.00132

• 理论与技术 • 上一篇    下一篇

低功耗物联网RTRS算法

陈瑜晨1,曹渊2,张来鹏1,丁良辉1,杨峰1   

  1. 1 上海交通大学电子信息与电气工程学院,上海 200240
    2 海军研究院,北京 104422
  • 修回日期:2019-08-26 出版日期:2019-12-30 发布日期:2020-02-05
  • 作者简介:陈瑜晨(1995- ),男,河南洛阳人,上海交通大学硕士生,主要研究方向为通信与信息系统|曹渊(1985- ),男,山西阳城人,海军研究院工程师,主要研究方向为舰载武器系统|张来鹏(1992- ),男,天津人,上海交通大学硕士生,主要研究方向为信息与通信系统|丁良辉(1981- ),男,江苏东台人,上海交通大学副教授,主要研究方向为信息与通信系统|杨峰(1978- ),男,北京人,上海交通大学副教授,主要研究方向为导航技术和高速无线视频传输技术
  • 基金资助:
    国家自然科学基金资助项目(61771309);国家自然科学基金资助项目(61671301);国家自然科学基金资助项目(61420106008);国家自然科学基金资助项目(61521062);上海市科学技术委员会资助项目(15DZ2270400);上海市重点实验室基金资助项目(STCSM15DZ2270400);上海交通大学医工交叉基金资助项目(YG2017QN47)

RTRS algorithm in low-power Internet of things

Yuchen CHEN1,Yuan CAO2,Laipeng ZHANG1,Lianghui DING1,Feng YANG1   

  1. 1 School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China
    2 Naval Research Academy,Beijing 104422,China
  • Revised:2019-08-26 Online:2019-12-30 Published:2020-02-05
  • Supported by:
    The National Natural Science Foundation of China(61771309);The National Natural Science Foundation of China(61671301);The National Natural Science Foundation of China(61420106008);The National Natural Science Foundation of China(61521062);The Project of Shanghai Science and Technology Commission(15DZ2270400);Shanghai Key Laboratory Foundation Project(STCSM15DZ2270400);Shanghai Jiao Tong University Medical and Worker Cross-Fund Project(YG2017QN47)

摘要:

针对低功耗物联网IEEE 802.11ah接入终端周期性上传数据的业务特点,提出一种能量最优的实时限制接入窗口(RAW,restricted access window)分组参数设置(RTRS,real-time RAW setting)算法。在RTRS算法中,多个节点向一个基站接入点(AP,access point)报告数据,上行信道资源按照时间被划分成多个Beacon周期。在一个Beacon周期内,AP根据当前周期终端的上传时间预测下一次Beacon周期内终端的上传时间和需要上传数据的终端总量;AP根据一个周期内的接入终端总量计算能量效率,设计能量最优的RAW参数,并通知接入终端按照最优参数接入。仿真结果表明,该方法能够根据上个周期内终端的上传时间准确预测当前网络状态,根据预测的状态动态调整RAW配置参数,显著提高能量效率。

关键词: 低功耗物联网, IEEE802.11ah, 隐藏节点, 实时接入窗控制

Abstract:

Considering the feature of periodical uplink data transmission in IEEE 802.11ah low-power wide area network (LWPAN),a real-time RAW setting (RTRS) algorithm was proposed.Multiple node send data to an access point (AP),and the uplink channel resources were divided into Beacon periods in time.During a Beacon period,AP firstly predicted the next data uploading time and the total amount of devices that will upload data in the next Beacon period.The AP calculated the optimal RAW parameters for minimum energy cost and broadcasted the information to all node.Then all devices upload data according to the RAW scheduling.The simulation results show that the current network state can be predicted accurately according to the upload time of the terminal in the last period.According to the predicted state,raw configuration parameters can be dynamically adjusted and the energy efficiency can be significantly improved.

Key words: low-power IoT, IEEE 802.11ah, hidden node, RTRS

中图分类号: 

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