Paper Info
Title
Fuzzy Logic‐based Efficient Interest Forwarding (FLEIF) in Named Data Networking
Abstract
AbstractAbstractContent centric or Named Data Networking (NDN) is expected to replace IP‐based communication in the future Internet architecture. Here, connections are established based on data instead of host addresses. This flexibility helps in decreasing the end‐to‐end delay, as the requested data may be available in any intermediate router's cache. In NDN, a small Interest packet sent on a link results in large sized incoming Data packets on the same link. Therefore, sending multiple Interest packets on a single outgoing face may cause congestion on the returning path. Hence, regulation of Interest packets based on link characteristics is important to avoid congestion. In this paper, an intelligent mechanism based on Neuro‐Fuzzy Logic is proposed for calculating outgoing link prices of each intermediate node. The class of each outgoing link on a router is determined for Interest forwarding in order to avoid congestion. Comparison results show that the proposed method effectively improves throughput by decreasing packet loss ratio. View Figure The research emphasizes on the classification of each outgoing link on a CCN router by implementing a Neuro‐Fuzzy model to get maximum throughput and decreased packet loss. Further, the research also emphasized on the division of an Interest and forwarding sub‐Interests on multiple paths for better and fast recovery of the desired data.
Year
DOI
Venue
2019
10.1002/ett.3577
Periodicals
Field
DocType
Volume
Content based networking,Computer science,Fuzzy logic,Computer network
Journal
30
Issue
ISSN
Citations 
9
2161-3915
0
PageRank 
References 
Authors
0.34
23
8
Name
Order
Citations
PageRank
Zeshan Qureshi100.34
Peer Azmat Shah2335.33
Najmul Hassan300.34
Sadaf Yasmin451.76
Farhan Aadil55010.48
Muhammad Fahad Khan6288.14
Yunyoung Nam726639.60
Sehar Farooq Shehzad800.34