Bat optimization algorithm with fuzzy based PIT sharing (BF-PIT) algorithm for Named Data Networking (NDN)
Computer circuits; Nearest neighbor search; Network architecture; Networks (circuits); Content delivery; Data packet; Internet modeling; K Nearest Neighbor (k NN) algorithm; Management scheme; Named data networkings; Node selection; Optimization algorithms; Fuzzy logic
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2023
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my.uniten.dspace-249872023-05-29T15:29:55Z Bat optimization algorithm with fuzzy based PIT sharing (BF-PIT) algorithm for Named Data Networking (NDN) Uma Maheswari P. Manickam P. Sathesh Kumar K. Maseleno A. Shankar K. 57219557698 57209506053 56112102200 55354910900 56884031900 Computer circuits; Nearest neighbor search; Network architecture; Networks (circuits); Content delivery; Data packet; Internet modeling; K Nearest Neighbor (k NN) algorithm; Management scheme; Named data networkings; Node selection; Optimization algorithms; Fuzzy logic Named Data Networking (NDN) is a recent Internet model, takes the advantages and resolves the drawbacks of traditional TCP/IP architecture to satisfy the increasing demands on communication. Every NDN router has a pending interest table (PI) to store all the interest packets (I-pkts) waiting for the arrival of data packets (D-pkts). In case of the arrival of enormous I-pkts, it might be hard for an NDN router to store all I-pkts in the limited PIT space. So, a novel PIT management scheme becomes essential for effective PIT utilization. This paper presents a new PIT sharing algorithm based on the hybridization of bat optimization (BO) algorithm and fuzzy logic (BFPIT), to accommodate number of I-pkts in a sharing NDN (SN) node. The BFPIT algorithm intends to identify the optimal SN node sharing node to store I-pkts of a requestor NDN (RN) node. The proposed BFPIT algorithm operates in two stages: BO algorithm for preliminary SN (PSN) node selection and fuzzy logic for final SN (FSN) node selection. For validation, the proposed method is implemented, and the simulation results are compared with the k-nearest neighbor (k-NN) algorithm. The experimental results revealed that the BFPIT algorithm significantly increases the CHR and minimizes the average content delivery time. � 2019 - IOS Press and the authors. All rights reserved. Final 2023-05-29T07:29:54Z 2023-05-29T07:29:54Z 2019 Article 10.3233/JIFS-179086 2-s2.0-85069434701 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069434701&doi=10.3233%2fJIFS-179086&partnerID=40&md5=12e453073ba3077970671e4e5a7d479b https://irepository.uniten.edu.my/handle/123456789/24987 37 1 293 300 IOS Press Scopus |
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Computer circuits; Nearest neighbor search; Network architecture; Networks (circuits); Content delivery; Data packet; Internet modeling; K Nearest Neighbor (k NN) algorithm; Management scheme; Named data networkings; Node selection; Optimization algorithms; Fuzzy logic |
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57219557698 Uma Maheswari P. Manickam P. Sathesh Kumar K. Maseleno A. Shankar K. |
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Uma Maheswari P. Manickam P. Sathesh Kumar K. Maseleno A. Shankar K. |
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Uma Maheswari P. Manickam P. Sathesh Kumar K. Maseleno A. Shankar K. Bat optimization algorithm with fuzzy based PIT sharing (BF-PIT) algorithm for Named Data Networking (NDN) |
author_sort |
Uma Maheswari P. |
title |
Bat optimization algorithm with fuzzy based PIT sharing (BF-PIT) algorithm for Named Data Networking (NDN) |
title_short |
Bat optimization algorithm with fuzzy based PIT sharing (BF-PIT) algorithm for Named Data Networking (NDN) |
title_full |
Bat optimization algorithm with fuzzy based PIT sharing (BF-PIT) algorithm for Named Data Networking (NDN) |
title_fullStr |
Bat optimization algorithm with fuzzy based PIT sharing (BF-PIT) algorithm for Named Data Networking (NDN) |
title_full_unstemmed |
Bat optimization algorithm with fuzzy based PIT sharing (BF-PIT) algorithm for Named Data Networking (NDN) |
title_sort |
bat optimization algorithm with fuzzy based pit sharing (bf-pit) algorithm for named data networking (ndn) |
publisher |
IOS Press |
publishDate |
2023 |
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1806426396517466112 |
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13.214268 |