Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction
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Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction
Journal on CommunicationsVol. 41, Issue 2, Pages: 25-35(2020)
作者机构:
北京邮电大学电子工程学院,北京 100876
作者简介:
基金信息:
The National Key Research and Development Program of China(2017YFC0804400);The National Key Research and Development Program of China(2017YFC0804405);The National Natural Science Foundation of China(61801033)
Weidong WANG, Cheng WANG, Huiwen WANG, et al. Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction[J]. Journal on Communications, 2020, 41(2): 25-35.
DOI:
Weidong WANG, Cheng WANG, Huiwen WANG, et al. Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction[J]. Journal on Communications, 2020, 41(2): 25-35. DOI: 10.11959/j.issn.1000-436x.2020038.
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 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.
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references
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