{"title":"Information consistency in information-centric networking","authors":"Lan Shi, Peng Yin, Jianhui Lv, Ying Zhao","doi":"10.1109/FSKD.2017.8393228","DOIUrl":null,"url":null,"abstract":"Information-Centric Networking (ICN) has drawn much attention and many reports have been published. However, there also exist many problems in the information management of ICN. In this paper, we mainly propose an information consistency algorithm named Breadth First Search Limit Arrangement Principle (BFSLAP). We use this algorithm to establish a new network architecture which is based on ICN information consistency. We describe the way to set up the information consistency architecture in ICN. In addition, we propose an all-gram model and a T-value formula to extract the features of contents' names. Then, we classify the contents according to these features. At last, the simulation results indicate that our BFSLAP algorithm is better than the original flooding algorithm.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2017.8393228","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
Information-Centric Networking (ICN) has drawn much attention and many reports have been published. However, there also exist many problems in the information management of ICN. In this paper, we mainly propose an information consistency algorithm named Breadth First Search Limit Arrangement Principle (BFSLAP). We use this algorithm to establish a new network architecture which is based on ICN information consistency. We describe the way to set up the information consistency architecture in ICN. In addition, we propose an all-gram model and a T-value formula to extract the features of contents' names. Then, we classify the contents according to these features. At last, the simulation results indicate that our BFSLAP algorithm is better than the original flooding algorithm.