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The Journal of Supercomputing

Published in:

17-04-2023

FSCN: a novel forwarding method based on Shannon entropy and COPRAS decision process in named data networking

Authors: Mohammad Soltani, Behrang Barekatain, Faramarz Hendesi, Zahra Beheshti

Published in: The Journal of Supercomputing | Issue 14/2023

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Abstract

The appropriate output interface (forwarding) has recently emerged as a key challenge affecting the performance of Named Data Networking (NDN). Regarding this matter, a novel strategy is presented based on the COPRAS (Complex Proportional Assessment) Decision-Making Process with the dynamic weighting of Shannon’s entropy called FSCN for transmitting request packets through the optimal output interface. The essential parameters identified in the suggested approach such as bandwidth, delay, and the number of hops can be dynamically weighted using the Shannon entropy technique and conditions. Then, the interfaces are scored using the COPRAS method, and the suitable output interface is ascertained. The advantages of the proposed method include considering influential criteria to characterize the path’s performance and the dynamic weighting of criteria. The simulation outcomes in ndnSIM demonstrated enhancements in critical parameters, including interest throughput, satisfaction ratio, packet drop, and delivery time when compared to similar approaches.

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Title: FSCN: a novel forwarding method based on Shannon entropy and COPRAS decision process in named data networking
Authors: Mohammad Soltani
Behrang Barekatain
Faramarz Hendesi
Zahra Beheshti
Publication date: 17-04-2023
Publisher: Springer US
Published in: The Journal of Supercomputing / Issue 14/2023
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-023-05265-5

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