低功耗物联网RTRS算法

doi:10.11959/j.issn.2096-3750.2019.00132

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 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)

Abstract

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

CLC Number:

TP391

Yuchen CHEN,Yuan CAO,Laipeng ZHANG,Lianghui DING,Feng YANG. RTRS algorithm in low-power Internet of things[J]. Chinese Journal on Internet of Things, 2019, 3(4): 56-62.

Figures/Tables 6

References 12

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参数	数值
通信速率	100 kbit/s
SIFS	160 μs
DIFS	200 μs
退避时隙	52 μs
发送功率	200 mW
Beacon周期	93.6 s
ACK分组大小	8B
载波频率	900 MHz
最小竞争窗	8
最大竞争窗	1 024
最大退避次数	8
接收功率	200 mW
RPS参数大小	12 B
PS-poll	16 B

RTRS algorithm in low-power Internet of things

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