RTRS algorithm in low-power Internet of things
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...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2019-12-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00132/ |
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| _version_ | 1841531173311873024 |
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| author | Yuchen CHEN Yuan CAO Laipeng ZHANG Lianghui DING Feng YANG |
| author_facet | Yuchen CHEN Yuan CAO Laipeng ZHANG Lianghui DING Feng YANG |
| author_sort | Yuchen CHEN |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-76659b332a7940e1a06ccdcecf21e3cf |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2019-12-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-76659b332a7940e1a06ccdcecf21e3cf2025-01-15T02:52:42ZzhoChina InfoCom Media Group物联网学报2096-37502019-12-013566259645275RTRS algorithm in low-power Internet of thingsYuchen CHENYuan CAOLaipeng ZHANGLianghui DINGFeng YANGConsidering 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.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00132/low-power IoTIEEE 802.11ahhidden nodeRTRS |
| spellingShingle | Yuchen CHEN Yuan CAO Laipeng ZHANG Lianghui DING Feng YANG RTRS algorithm in low-power Internet of things 物联网学报 low-power IoT IEEE 802.11ah hidden node RTRS |
| title | RTRS algorithm in low-power Internet of things |
| title_full | RTRS algorithm in low-power Internet of things |
| title_fullStr | RTRS algorithm in low-power Internet of things |
| title_full_unstemmed | RTRS algorithm in low-power Internet of things |
| title_short | RTRS algorithm in low-power Internet of things |
| title_sort | rtrs algorithm in low power internet of things |
| topic | low-power IoT IEEE 802.11ah hidden node RTRS |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00132/ |
| work_keys_str_mv | AT yuchenchen rtrsalgorithminlowpowerinternetofthings AT yuancao rtrsalgorithminlowpowerinternetofthings AT laipengzhang rtrsalgorithminlowpowerinternetofthings AT lianghuiding rtrsalgorithminlowpowerinternetofthings AT fengyang rtrsalgorithminlowpowerinternetofthings |