Traffic-Predictive Routing Strategy for Satellite Networks
To address the issues of uneven satellite network load and unstable link connections, a globally adaptive satellite network routing strategy based on traffic prediction (G-AODV) is proposed by enhancing the existing Ad hoc On-Demand Distance Vector Routing (AODV) protocol. To prevent heavily loaded...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/13/1/6 |
| _version_ | 1797358951863418880 |
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| author | Zhiguo Liu Zhengxia Liu Lin Wang Weijie Li |
| author_facet | Zhiguo Liu Zhengxia Liu Lin Wang Weijie Li |
| author_sort | Zhiguo Liu |
| collection | DOAJ |
| description | To address the issues of uneven satellite network load and unstable link connections, a globally adaptive satellite network routing strategy based on traffic prediction (G-AODV) is proposed by enhancing the existing Ad hoc On-Demand Distance Vector Routing (AODV) protocol. To prevent heavily loaded nodes from becoming intermediate nodes, G-AODV introduces a traffic prediction mechanism in the route discovery phase. The routing request packet adopts the corresponding forwarding control policy based on the comparison between the predicted traffic load value at the next moment and the dynamic threshold. At the same time, a path replacement strategy is adopted to replace paths before node congestion occurs to achieve load balancing. Considering the unstable characteristics of the satellite chain that easily breaks, the route maintenance phase selects a path repair method by judging the node stability to avoid secondary breaks in the route. The simulation results show that in scenarios with different packet delivery rates, compared with the three comparative routing strategies, the packet delivery rate of G-AODV is increased by up to 20%, the packet loss rate is reduced by 22%, and the end-to-end delay is significantly reduced. In scenarios with different communication connection pairs, G-AODV’s packet delivery rate increased by up to 20%, the packet loss rate decreased by 18%, and the end-to-end delay was still reduced. |
| first_indexed | 2024-03-08T15:09:35Z |
| format | Article |
| id | doaj.art-a2646aba2bb9499c909d99f818c59dd3 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-08T15:09:35Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-a2646aba2bb9499c909d99f818c59dd32024-01-10T14:54:04ZengMDPI AGElectronics2079-92922023-12-01131610.3390/electronics13010006Traffic-Predictive Routing Strategy for Satellite NetworksZhiguo Liu0Zhengxia Liu1Lin Wang2Weijie Li3Communication and Network Key Laboratory, Dalian University, Dalian 116622, ChinaCommunication and Network Key Laboratory, Dalian University, Dalian 116622, ChinaCollege of Environment and Chemical Engineering, Dalian University, Dalian 116622, ChinaCommunication and Network Key Laboratory, Dalian University, Dalian 116622, ChinaTo address the issues of uneven satellite network load and unstable link connections, a globally adaptive satellite network routing strategy based on traffic prediction (G-AODV) is proposed by enhancing the existing Ad hoc On-Demand Distance Vector Routing (AODV) protocol. To prevent heavily loaded nodes from becoming intermediate nodes, G-AODV introduces a traffic prediction mechanism in the route discovery phase. The routing request packet adopts the corresponding forwarding control policy based on the comparison between the predicted traffic load value at the next moment and the dynamic threshold. At the same time, a path replacement strategy is adopted to replace paths before node congestion occurs to achieve load balancing. Considering the unstable characteristics of the satellite chain that easily breaks, the route maintenance phase selects a path repair method by judging the node stability to avoid secondary breaks in the route. The simulation results show that in scenarios with different packet delivery rates, compared with the three comparative routing strategies, the packet delivery rate of G-AODV is increased by up to 20%, the packet loss rate is reduced by 22%, and the end-to-end delay is significantly reduced. In scenarios with different communication connection pairs, G-AODV’s packet delivery rate increased by up to 20%, the packet loss rate decreased by 18%, and the end-to-end delay was still reduced.https://www.mdpi.com/2079-9292/13/1/6traffic predictionsatellite network routingnode stabilityforwarding control mechanism |
| spellingShingle | Zhiguo Liu Zhengxia Liu Lin Wang Weijie Li Traffic-Predictive Routing Strategy for Satellite Networks Electronics traffic prediction satellite network routing node stability forwarding control mechanism |
| title | Traffic-Predictive Routing Strategy for Satellite Networks |
| title_full | Traffic-Predictive Routing Strategy for Satellite Networks |
| title_fullStr | Traffic-Predictive Routing Strategy for Satellite Networks |
| title_full_unstemmed | Traffic-Predictive Routing Strategy for Satellite Networks |
| title_short | Traffic-Predictive Routing Strategy for Satellite Networks |
| title_sort | traffic predictive routing strategy for satellite networks |
| topic | traffic prediction satellite network routing node stability forwarding control mechanism |
| url | https://www.mdpi.com/2079-9292/13/1/6 |
| work_keys_str_mv | AT zhiguoliu trafficpredictiveroutingstrategyforsatellitenetworks AT zhengxialiu trafficpredictiveroutingstrategyforsatellitenetworks AT linwang trafficpredictiveroutingstrategyforsatellitenetworks AT weijieli trafficpredictiveroutingstrategyforsatellitenetworks |