Large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring
In order to solve the problem of high collision rate and low timeliness of large-scale terminals access in the Internet of things, a large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring (ACB) was proposed.Firstly, the services were classified based on the data...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2021-03-01
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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.2096-3750.2021.00164/ |
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| _version_ | 1841533792105267200 |
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| author | Zhenyu ZHU Xiaorong ZHU Yan CAI Hongbo ZHU |
| author_facet | Zhenyu ZHU Xiaorong ZHU Yan CAI Hongbo ZHU |
| author_sort | Zhenyu ZHU |
| collection | DOAJ |
| description | In order to solve the problem of high collision rate and low timeliness of large-scale terminals access in the Internet of things, a large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring (ACB) was proposed.Firstly, the services were classified based on the data from each terminal by the volume of the services processed and the requirements for delay.For the services that were not time-sensitive and whose effective data portion was less than 1 000 bit, a slot-based ALOHA-based competitive access method was used.ACB-based random access was used for the services that were time-sensitive or whose data portion was greater than 1 000 bit.On this basis, a method was proposed for predicting the access application volume based on the quantitative estimation, and dynamically adjusting the ACB control parameters based on this predicted value.Simulation results show that compared with other existing access algorithms, the proposed algorithm reduces the collision rate and improves the system access success rate under the premise of ensuring the high priority service delay requirements. |
| format | Article |
| id | doaj-art-2806706826b7401292a65920ece7c7c2 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2021-03-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-2806706826b7401292a65920ece7c7c22025-01-15T02:53:55ZzhoChina InfoCom Media Group物联网学报2096-37502021-03-015909859651422Large-scale terminal access algorithm based on slot ALOHA and adaptive access class barringZhenyu ZHUXiaorong ZHUYan CAIHongbo ZHUIn order to solve the problem of high collision rate and low timeliness of large-scale terminals access in the Internet of things, a large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring (ACB) was proposed.Firstly, the services were classified based on the data from each terminal by the volume of the services processed and the requirements for delay.For the services that were not time-sensitive and whose effective data portion was less than 1 000 bit, a slot-based ALOHA-based competitive access method was used.ACB-based random access was used for the services that were time-sensitive or whose data portion was greater than 1 000 bit.On this basis, a method was proposed for predicting the access application volume based on the quantitative estimation, and dynamically adjusting the ACB control parameters based on this predicted value.Simulation results show that compared with other existing access algorithms, the proposed algorithm reduces the collision rate and improves the system access success rate under the premise of ensuring the high priority service delay requirements.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00164/internet of thingsmassive accesstime series predictionadaptive access class barring |
| spellingShingle | Zhenyu ZHU Xiaorong ZHU Yan CAI Hongbo ZHU Large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring 物联网学报 internet of things massive access time series prediction adaptive access class barring |
| title | Large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring |
| title_full | Large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring |
| title_fullStr | Large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring |
| title_full_unstemmed | Large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring |
| title_short | Large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring |
| title_sort | large scale terminal access algorithm based on slot aloha and adaptive access class barring |
| topic | internet of things massive access time series prediction adaptive access class barring |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00164/ |
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