{"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}
引用次数: 0
Abstract
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.