{"title":"基于树形结构的天空地一体化网络多维资源建模方法","authors":"Hua Qu, Yongyue Yu, X. Yuan, Ji-hong Zhao, Feng Zhou, F. Wei","doi":"10.1109/ictc55111.2022.9778349","DOIUrl":null,"url":null,"abstract":"With the development of space-air-ground integrated network (SAGIN), the network become more and more complexity. The diversification in device types and differentiation in equipment performance leads to the heterogeneity of network structure and multi-dimensionality of resources. And the satellite network is highly dynamic and network topology changes frequently, resulting in time-varying. Therefore, there are a stronger demand to meet the requirements of network structure characterization, resource dimensional expansion and the time-varying presentation in integrated network. In this paper, a multi-dimensional resource model named space-time resource tree (S-TRT) is proposed to deal with these problems. S-TRT is composed of two independent tree structures: node tree and node-resource tree. Node tree represents the heterogeneous characteristics of integrated network by the hierarchy of the tree structure. Node- resource tree uses the number of sub nodes, which is unlimited in N-ary tree, to adapt to the expansion of resource dimensions. Then use a series of basic operations such as node inserting, updating and combining to realize the time-varying characteristics of resources in integrated network. Finally, the simulation results show that compared with ETSDSnapshot and ETEG models, the complexity of the S-TRT model is reduced to O(logn) and the time-varying cost is reduced by about 20% over a period of time.","PeriodicalId":123022,"journal":{"name":"2022 3rd Information Communication Technologies Conference (ICTC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Multi-dimensional Resource Modeling Method Based on Tree Structure in Space-Air-Ground Integrated Network\",\"authors\":\"Hua Qu, Yongyue Yu, X. Yuan, Ji-hong Zhao, Feng Zhou, F. Wei\",\"doi\":\"10.1109/ictc55111.2022.9778349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of space-air-ground integrated network (SAGIN), the network become more and more complexity. The diversification in device types and differentiation in equipment performance leads to the heterogeneity of network structure and multi-dimensionality of resources. And the satellite network is highly dynamic and network topology changes frequently, resulting in time-varying. Therefore, there are a stronger demand to meet the requirements of network structure characterization, resource dimensional expansion and the time-varying presentation in integrated network. In this paper, a multi-dimensional resource model named space-time resource tree (S-TRT) is proposed to deal with these problems. S-TRT is composed of two independent tree structures: node tree and node-resource tree. Node tree represents the heterogeneous characteristics of integrated network by the hierarchy of the tree structure. Node- resource tree uses the number of sub nodes, which is unlimited in N-ary tree, to adapt to the expansion of resource dimensions. Then use a series of basic operations such as node inserting, updating and combining to realize the time-varying characteristics of resources in integrated network. Finally, the simulation results show that compared with ETSDSnapshot and ETEG models, the complexity of the S-TRT model is reduced to O(logn) and the time-varying cost is reduced by about 20% over a period of time.\",\"PeriodicalId\":123022,\"journal\":{\"name\":\"2022 3rd Information Communication Technologies Conference (ICTC)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd Information Communication Technologies Conference (ICTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ictc55111.2022.9778349\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd Information Communication Technologies Conference (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ictc55111.2022.9778349","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Multi-dimensional Resource Modeling Method Based on Tree Structure in Space-Air-Ground Integrated Network
With the development of space-air-ground integrated network (SAGIN), the network become more and more complexity. The diversification in device types and differentiation in equipment performance leads to the heterogeneity of network structure and multi-dimensionality of resources. And the satellite network is highly dynamic and network topology changes frequently, resulting in time-varying. Therefore, there are a stronger demand to meet the requirements of network structure characterization, resource dimensional expansion and the time-varying presentation in integrated network. In this paper, a multi-dimensional resource model named space-time resource tree (S-TRT) is proposed to deal with these problems. S-TRT is composed of two independent tree structures: node tree and node-resource tree. Node tree represents the heterogeneous characteristics of integrated network by the hierarchy of the tree structure. Node- resource tree uses the number of sub nodes, which is unlimited in N-ary tree, to adapt to the expansion of resource dimensions. Then use a series of basic operations such as node inserting, updating and combining to realize the time-varying characteristics of resources in integrated network. Finally, the simulation results show that compared with ETSDSnapshot and ETEG models, the complexity of the S-TRT model is reduced to O(logn) and the time-varying cost is reduced by about 20% over a period of time.