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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
Published:30 December 2019,
Published Online:2019-09,
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YUCHEN CHEN, YUAN CAO, LAIPENG ZHANG, et al. RTRS algorithm in low-power Internet of things. [J]. Chinese journal on internet of things, 2019, 3(4): 56-62.
YUCHEN CHEN, YUAN CAO, LAIPENG ZHANG, et al. RTRS algorithm in low-power Internet of things. [J]. Chinese journal on internet of things, 2019, 3(4): 56-62. DOI: 10.11959/j.issn.2096-3750.2019.00132.
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。
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.
低功耗物联网IEEE802.11ah隐藏节点实时接入窗控制
low-power IoTIEEE 802.11ahhidden nodeRTRS
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