{"title":"King's图中最短路径的编码","authors":"Gokce CAYLAK KAYATURAN","doi":"10.33401/fujma.1091736","DOIUrl":null,"url":null,"abstract":"An undirected mathematical graph, G = (V,E) where V is a set of vertices and E = V ×V \nis the set of edges, can model a computer network. By this consideration we search for \nsolutions to real computer network problems with a theoretical approach. This approach \nis based on labelling each edge by a subset of a universal set, and then encoding a path \nas the union of the labels of its edges. We label each vertex v ∈V by using a subset of \nuniversal set U , then we present a way to encode shortest paths in the graph G by using a \nway optimizing the data. By mathematical approach, it is provable that the labelling method \nwe introduced eliminates the errors from the shortest paths in the graph. We aim to obtain \nthe results in a more efficient use of network resources and to reduce network traffic. This \nshows how our theoretical approach works in real world network systems.","PeriodicalId":199091,"journal":{"name":"Fundamental Journal of Mathematics and Applications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Encoding the Shortest Paths in a King's Graph\",\"authors\":\"Gokce CAYLAK KAYATURAN\",\"doi\":\"10.33401/fujma.1091736\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An undirected mathematical graph, G = (V,E) where V is a set of vertices and E = V ×V \\nis the set of edges, can model a computer network. By this consideration we search for \\nsolutions to real computer network problems with a theoretical approach. This approach \\nis based on labelling each edge by a subset of a universal set, and then encoding a path \\nas the union of the labels of its edges. We label each vertex v ∈V by using a subset of \\nuniversal set U , then we present a way to encode shortest paths in the graph G by using a \\nway optimizing the data. By mathematical approach, it is provable that the labelling method \\nwe introduced eliminates the errors from the shortest paths in the graph. We aim to obtain \\nthe results in a more efficient use of network resources and to reduce network traffic. This \\nshows how our theoretical approach works in real world network systems.\",\"PeriodicalId\":199091,\"journal\":{\"name\":\"Fundamental Journal of Mathematics and Applications\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fundamental Journal of Mathematics and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33401/fujma.1091736\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fundamental Journal of Mathematics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33401/fujma.1091736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
无向数学图G = (V,E),其中V是一组顶点,E = V ×V是一组边,可以模拟计算机网络。通过这种考虑,我们用理论方法寻找解决实际计算机网络问题的方法。该方法基于用泛域集的子集标记每条边,然后将路径编码为其边的标签的并集。我们用泛域集U的一个子集来标记每个顶点v∈v,然后用优化数据的方法给出了图G中最短路径的编码方法。通过数学方法证明了所引入的标记方法可以消除图中最短路径的误差。我们的目标是在更有效地利用网络资源和减少网络流量的情况下获得结果。这显示了我们的理论方法是如何在现实世界的网络系统中工作的。
An undirected mathematical graph, G = (V,E) where V is a set of vertices and E = V ×V
is the set of edges, can model a computer network. By this consideration we search for
solutions to real computer network problems with a theoretical approach. This approach
is based on labelling each edge by a subset of a universal set, and then encoding a path
as the union of the labels of its edges. We label each vertex v ∈V by using a subset of
universal set U , then we present a way to encode shortest paths in the graph G by using a
way optimizing the data. By mathematical approach, it is provable that the labelling method
we introduced eliminates the errors from the shortest paths in the graph. We aim to obtain
the results in a more efficient use of network resources and to reduce network traffic. This
shows how our theoretical approach works in real world network systems.