JOURNAL ARTICLE

Information consistency in information-centric networking

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.

Keywords:
Consistency (knowledge bases) Computer science Flooding (psychology) Information-centric networking Set (abstract data type) Limit (mathematics) Architecture Information retrieval Value (mathematics) Data mining Artificial intelligence World Wide Web Mathematics Machine learning The Internet

Metrics

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Cited By
0.00
FWCI (Field Weighted Citation Impact)
12
Refs
0.29
Citation Normalized Percentile
Is in top 1%
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Topics

Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Peer-to-Peer Network Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications

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