Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction
Aiming at the routing problem of low earth orbit (LEO) Internet of things (IoT) satellite systems,a dynamic cache allocation routing strategy based on traffic prediction for IoT satellite nodes was proposed.Firstly,the space-time characteristics of traffic distribution in the LEO coverage area were...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2020-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020038/ |
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| _version_ | 1841539388927901696 |
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| author | Weidong WANG Cheng WANG Huiwen WANG Pin XU |
| author_facet | Weidong WANG Cheng WANG Huiwen WANG Pin XU |
| author_sort | Weidong WANG |
| collection | DOAJ |
| description | Aiming at the routing problem of low earth orbit (LEO) Internet of things (IoT) satellite systems,a dynamic cache allocation routing strategy based on traffic prediction for IoT satellite nodes was proposed.Firstly,the space-time characteristics of traffic distribution in the LEO coverage area were analyzed,and an end-to-end traffic prediction model was proposed.Then,according to the traffic prediction result,a dynamic cache allocation routing strategy was proposed.The satellite node periodically monitored the traffic load of the inter-satellite link,dynamically allocated the cache resources of each inter-satellite link between the neighboring nodes.The cache allocation process was divided into two phases,initialization and system operation.At the same time,the traffic offload and packet forwarding strategy when the node was congested was proposed.By comparing the queuing delay and the forwarding delay,it was determined whether the data packet needs to be rerouted.The simulation results show that the proposed routing strategy effectively reduces the packet loss rate and average end-to-end delay,and improves the traffic distribution in the whole network. |
| format | Article |
| id | doaj-art-e6c2726faae24d0c9dfbe906afa8357c |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-e6c2726faae24d0c9dfbe906afa8357c2025-01-14T07:18:29ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-02-0141253559732956Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic predictionWeidong WANGCheng WANGHuiwen WANGPin XUAiming at the routing problem of low earth orbit (LEO) Internet of things (IoT) satellite systems,a dynamic cache allocation routing strategy based on traffic prediction for IoT satellite nodes was proposed.Firstly,the space-time characteristics of traffic distribution in the LEO coverage area were analyzed,and an end-to-end traffic prediction model was proposed.Then,according to the traffic prediction result,a dynamic cache allocation routing strategy was proposed.The satellite node periodically monitored the traffic load of the inter-satellite link,dynamically allocated the cache resources of each inter-satellite link between the neighboring nodes.The cache allocation process was divided into two phases,initialization and system operation.At the same time,the traffic offload and packet forwarding strategy when the node was congested was proposed.By comparing the queuing delay and the forwarding delay,it was determined whether the data packet needs to be rerouted.The simulation results show that the proposed routing strategy effectively reduces the packet loss rate and average end-to-end delay,and improves the traffic distribution in the whole network.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020038/low earth orbit satelliteroutingcache allocationInternet of things |
| spellingShingle | Weidong WANG Cheng WANG Huiwen WANG Pin XU Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction Tongxin xuebao low earth orbit satellite routing cache allocation Internet of things |
| title | Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction |
| title_full | Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction |
| title_fullStr | Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction |
| title_full_unstemmed | Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction |
| title_short | Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction |
| title_sort | dynamic cache allocation routing strategy of internet of things satellite node based on traffic prediction |
| topic | low earth orbit satellite routing cache allocation Internet of things |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020038/ |
| work_keys_str_mv | AT weidongwang dynamiccacheallocationroutingstrategyofinternetofthingssatellitenodebasedontrafficprediction AT chengwang dynamiccacheallocationroutingstrategyofinternetofthingssatellitenodebasedontrafficprediction AT huiwenwang dynamiccacheallocationroutingstrategyofinternetofthingssatellitenodebasedontrafficprediction AT pinxu dynamiccacheallocationroutingstrategyofinternetofthingssatellitenodebasedontrafficprediction |