Chinese Journal on Internet of Things ›› 2019, Vol. 3 ›› Issue (4): 56-62.doi: 10.11959/j.issn.2096-3750.2019.00132

• Theory and Technology • Previous Articles     Next Articles

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)


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

CLC Number: 

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